Acharya, M, Deo, RC, Barua, PD, Devi, A & Tao, X 2025, 'EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals', Computer Methods and Programs in Biomedicine, vol. 262, pp. 108652-108652.
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Acharya, M, Deo, RC, Tao, X, Barua, PD, Devi, A, Atmakuru, A & Tan, R-S 2025, 'Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024)', Computer Methods and Programs in Biomedicine, vol. 259, pp. 108506-108506.
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Atmakuru, A, Chakraborty, S, Salvi, M, Faust, O, Datta Barua, P, Kobayashi, M, San Tan, R, Molinari, F, Hafeez-Baig, A & Rajendra Acharya, U 2025, 'Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications', IEEE Access, vol. 13, pp. 25026-25044.
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Atmakuru, A, Shahini, A, Chakraborty, S, Seoni, S, Salvi, M, Hafeez-Baig, A, Rashid, S, Tan, RS, Barua, PD, Molinari, F & Acharya, UR 2025, 'Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023)', Information Fusion, vol. 114, pp. 102673-102673.
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Aung, HW, Jiao Li, J, An, Y & Su, SW 2025, 'A Real-Time Framework for EEG Signal Decoding With Graph Neural Networks and Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12.
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Aung, HW, Li, JJ, Shi, B, An, Y & Su, SW 2025, 'EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification', Biomedical Signal Processing and Control, vol. 104, pp. 107458-107458.
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Auriemma, F, Andrisani, G, Facciorusso, A, franchellucci, G, De, LL, Calabrese, F, Fiacca, M, Citterio, N, De Deo, D, Paduano, D, Gentile, C, Hassan, C, Francesco, DM, Repici, A & Benedetto, M 2025, 'Haemocer Plus in the treatment and prevention of lower GI post-resectional bleeding: prospective multi center study', Endoscopy, vol. 57, no. S 02, pp. S440-S440.
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Azfar, M, Gao, W, Van den Haute, C, Xiao, L, Karsa, M, Pandher, R, Karsa, A, Spurling, D, Ronca, E, Bongers, A, Guo, X, Mayoh, C, Fayt, Y, Schoofs, A, Burns, MR, Verhelst, SHL, Norris, MD, Haber, M, Vangheluwe, P & Somers, K 2025, 'The polyamine transporter ATP13A3 mediates difluoromethylornithine‐induced polyamine uptake in neuroblastoma', Molecular Oncology, vol. 19, no. 3, pp. 913-936.
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High‐risk neuroblastomas, often associated with MYCN protooncogene amplification, are addicted to polyamines, small polycations vital for cellular functioning. We have previously shown that neuroblastoma cells increase polyamine uptake when exposed to the polyamine biosynthesis inhibitor difluoromethylornithine (DFMO), and this mechanism is thought to limit the efficacy of the drug in clinical trials. This finding resulted in the clinical development of polyamine transport inhibitors, including AMXT 1501, which is presently under clinical investigation in combination with DFMO. However, the mechanisms and transporters involved in DFMO‐induced polyamine uptake are unknown. Here, we report that knockdown of ATPase 13A3 (ATP13A3), a member of the P5B‐ATPase polyamine transporter family, limited basal and DFMO‐induced polyamine uptake, attenuated MYCN‐amplified and non‐MYCN‐amplified neuroblastoma cell growth, and potentiated the inhibitory effects of DFMO. Conversely, overexpression of ATP13A3 in neuroblastoma cells increased polyamine uptake, which was inhibited by AMXT 1501, highlighting ATP13A3 as a key target of the drug. An association between high ATP13A3 expression and poor survival in neuroblastoma further supports a role of this transporter in neuroblastoma progression. Thus, this study identified ATP13A3 as a critical regulator of basal and DFMO‐induced polyamine uptake and a novel therapeutic target for neuroblastoma.
Benedetto, M, Paduano, D, Ramai, D, franchellucci, G, Barbera, C, Frigo, F, Fugazza, A, De Nucci, G, Vanella, G, Ko, C, Francesco, DM, Larghi, A, Anderloni, A, Auriemma, F, Minini, F, Arcidiacono, P, Gentile, C, Federica, C, De, LL, Teoh, AY, Gallo, C, Forti, E, Mutignani, M, Santi, M, Bertani, H, Aragona, G, Troncone, E, Del Vecchio Blanco, G, Pham, KC, Mirante, VG, Crinò, SF, Aljahdli, E, Sundaram, S, Al-Lehibi, A, Alfadda, A, Fiacca, M, Manes, G, Decembrino, F, Fierro, G, Manes, G, Morris, JD, Martínez, B, Aparicio, JR, Stigliano, S, Bronswijk, M, Van der Merwe, S, Lakhtakia, S, Ventra, A, Repici, A & Facciorusso, A 2025, 'Endoscopic Ultrasound (EUS)-Guided Gallbladder Drainage vs EUS-Guided Bile Duct Drainage for First Line Therapy of Malignant Biliary Obstruction: An International Multicenter Study', Endoscopy, vol. 57, no. S 02, pp. S75-S76.
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Benedetto, M, Paduano, D, Ramai, D, franchellucci, G, Barbera, C, Fugazza, A, Vanella, G, Frigo, F, Arcidiacono, P, De Nucci, G, Anderloni, A, Larghi, A, Crinò, SF, Sundaram, S, Troncone, E, Pham, KC, Al-Lehibi, A, Forti, E, Gentile, C, Aragona, G, Manes, G, Ko, C, Francesco, DM, Auriemma, F, Minini, F, Fiacca, M, Federica, C, De, LL, Teoh, AY, Gallo, C, Mutignani, M, Santi, M, Bertani, H, Del Vecchio Blanco, G, Mirante, VG, Aljahdli, E, Alfadda, A, Decembrino, F, Antonio, F, Bronswijk, M, Van der Merwe, S, Fierro, G, Manes, G, Morris, JD, Martínez, B, Stigliano, S, Aparicio, JR, Lakhtakia, S, Ventra, A, Repici, A & Facciorusso, A 2025, 'Endoscopic Ultrasound (EUS)-Guided Gallbladder Drainage vs EUS-Guided Bile Duct Drainage After Failed ERCP for Malignant Biliary Obstruction: An International Multicenter Study', Endoscopy, vol. 57, no. S 02, pp. S198-S199.
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Bustin, SA, Ruijter, JM, van den Hoff, MJB, Kubista, M, Pfaffl, MW, Shipley, GL, Tran, N, Rödiger, S, Untergasser, A, Mueller, R, Nolan, T, Milavec, M, Burns, MJ, Huggett, JF, Vandesompele, J & Wittwer, CT 2025, 'MIQE 2.0: Revision of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments Guidelines', Clinical Chemistry, vol. 71, no. 6, pp. 634-651.
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Abstract Background In 2009, the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines established standards for the design, execution, and reporting of quantitative PCR (qPCR) in research. The expansion of qPCR into numerous new domains has driven the development of new reagents, methods, consumables, and instruments, requiring revisions to best practices that are tailored to the evolving complexities of contemporary qPCR applications. Content Transparent, clear, and comprehensive description and reporting of all experimental details are necessary to ensure the repeatability and reproducibility of qPCR results. These revised MIQE guidelines reflect recent advances in qPCR technology, offering clear recommendations for sample handling, assay design, and validation, along with guidance on qPCR data analysis. Instrument manufacturers are encouraged to enable the export of raw data to facilitate thorough analyses and re-evaluation by manuscript reviewers and interested researchers. The guidelines emphasize that quantification cycle (Cq) values should be converted into efficiency-corrected target quantities and reported with prediction intervals, along with detection limits and dynamic ranges for each target, based on the chosen quantification method. Additionally, best practices for normalization and quality control are outlined and reporting requirements have been clarified and streamlined. The aim is to encourage researchers to provide all necessary information without undue burden, thereby promoting more rigorous and reproducible qPCR research. Summary ...
Calabrese, F, Auriemma, F, Paduano, D, Gentile, C, Fiacca, M, Repici, A & Benedetto, M 2025, 'Anti-Reflux Mucosal Ablation with Z-Line Involvement (ARMA-Z) for Gastroesophageal Reflux Disease (GERD): Preliminary Results from the First International Experience', Endoscopy, vol. 57, no. S 02, pp. S459-S459.
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Chadalavada, S, Faust, O, Salvi, M, Seoni, S, Raj, N, Raghavendra, U, Gudigar, A, Barua, PD, Molinari, F & Acharya, R 2025, 'Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review', Environmental Modelling & Software, vol. 185, pp. 106312-106312.
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Chadalavada, S, Yaman, S, Sengur, A, Hafeez-Baig, A, Tan, R-S, Datta Barua, P, Deo, RC, Kobayashi, M & Rajendra Acharya, U 2025, 'Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification', IEEE Access, vol. 13, pp. 69500-69512.
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Chen, W, March, LM, Blyth, FM, Alarkawi, D, Blank, RD, Bliuc, D, Tran, T & Center, JR 2025, 'Excess subsequent fracture and mortality risk after ankle fractures: a relative survival analysis of the 45 and Up Study', Osteoporosis International, vol. 36, no. 6, pp. 1031-1038.
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Coward-Smith, M, Zhang, Y, Donovan, C, Kim, RY, Wang, B, Zakarya, R, Chen, H, Li, JJ & Oliver, BG 2025, 'Beyond conventional biomarkers: Emerging importance of extracellular vesicles in osteoarthritis, metabolic disorders and cardiovascular disease', Extracellular Vesicle, vol. 5, pp. 100079-100079.
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Datta Barua, P, Kobayashi, M, Dogan, S, Baygin, M, Tuncer, T, Kunnel Paul, J, Iype, T & Acharya, UR 2025, 'Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals', IEEE Access, vol. 13, pp. 99032-99047.
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Ding, L, Cox, T, Ghobadi, S, Lim, KS, Roberts, T, Warkiani, ME, Radfar, P & OH, S 2025, 'Development of Xeno-Free, Fast-Dissolving Microcarriers for Scalable Stem Cell Therapy Applications', Cytotherapy, vol. 27, no. 5, pp. S152-S152.
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Ding, L, Zhong, Z, Chen, C, Liu, B, Chen, Z, Zhang, L, Mao, J, Zhang, M, Su, QP & Cheng, F 2025, 'Advances in multiplexed photoelectrochemical sensors for multiple components', Chemical Engineering Journal, vol. 505, pp. 159319-159319.
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Do, KT, Hoang, DK, Luong, QN, Nguyen, HG, Do, AT, Ho‐Pham, LT & Nguyen, TV 2025, 'Reference Values of Handgrip and Lower Extremity Strength for Vietnamese Men and Women: The Vietnam Osteoporosis Study', Journal of Cachexia, Sarcopenia and Muscle, vol. 16, no. 1.
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ABSTRACTBackgroundFalls and sarcopenia are significant public health issues in Vietnam. Despite muscle strength being a critical predictor for these conditions, reference data on muscle strength within the Vietnamese population are lacking.PurposeTo establish the reference ranges for muscle strength among Vietnamese individuals.MethodsThe study involved 4096 individuals, including 1419 men and 2677 women aged 18 years and above, from the Vietnam Osteoporosis Study. Muscle strength was assessed using a Baseline hand dynamometer for handgrip strength and a Back‐Leg‐Chest dynamometer for leg strength. We calculated mean values, standard deviations, interquartile ranges, and peak muscle strength (pMS) for both handgrip and leg strength across various ages. Reference curves were created with the Generalised Additive Model for Location Scale and Shape, and polynomial regression models were employed to analyse the relationship between muscle strength and age.ResultsAdvancing age was significantly associated with lower muscle strength. Peak muscle strength typically occurred between ages 30 and 40, with earlier peaks in women, especially in leg strength. Men consistently showed higher muscle strength than women, with variations depending on the measurement site. Specifically, average handgrip strength was 36.4 kg ± 8.4 (mean ± SD) for men and 23.2 kg ± 6.0 for women (p < 0.001). Leg strength averaged 63.9 kg ± 27.2 for men and 29.5 kg ± 13.9 for women (p < 0.001). Additionally, we produced a percentile chart illustrating muscle weakness ranges based on the 25th percentile of muscle strength and the appendicular skeletal mus...
Du, G, Fan, Z, Fan, K, Liu, H, Zhang, J, Li, D, Yan, L, Jiu, J, Li, R, Li, X, Li, S, Jia, L, Liu, H, Ren, Y, Liu, X, Li, JJ & Wang, B 2025, 'Risk-stratified lifetime risk and incidence of hip fracture and falls in middle-aged and elderly Chinese population: The China health and retirement longitudinal study', Journal of Orthopaedic Translation, vol. 50, pp. 174-184.
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El‐Helou, AJ, Liu, Y, Chen, C, Wang, F, Altug, H, Reece, PJ & Zhu, Y 2025, 'Optical Metasurfaces for the Next‐Generation Biosensing and Bioimaging', Laser & Photonics Reviews, vol. 19, no. 10.
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AbstractRecent advances in this understanding of light‐matter interactions, combined with innovations in the design and fabrication of large‐scale nanostructured metasurfaces, have enabled transformative approaches to biosensing and bioimaging. This review delves into the profound impact of optical metasurfaces, highlighting innovations that leverage their tunable properties and adaptability. It begins with an overview of key sensing mechanisms across various metasurface modalities, comparing their effects on metrics such as sensitivity and limits of detection. The discussion then shifts to recent advancements in refractometric biosensing, focusing on novel transduction methods that exploit the intensity, phase, and colorimetric responses of these metasurfaces. The latest developments in surface‐enhanced spectroscopic sensing are also examined, exploring how metasurfaces contribute to enhanced molecular fingerprinting capabilities in these applications. Additionally, the role of optical metasurfaces in advancing bioimaging are assessed, emphasizing label‐free elastic scattering, spectroscopic/chemical contrast imaging, and metasurface‐assisted super‐resolution microscopy. Finally, the review addresses current challenges and future directions for optical metasurfaces in biosensing and imaging, including material limitations, difficulties in large‐scale fabrication, and the complexity of data analysis and readout methods. It also discusses the integration of novel detector hardware to improve spatiotemporal resolution of sensing and imaging techniques.
Fang, L, Lin, X, Xu, R, Liu, L, Zhang, Y, Tian, F, Li, JJ & Xue, J 2025, 'Advances in the Development of Gradient Scaffolds Made of Nano-Micromaterials for Musculoskeletal Tissue Regeneration', Nano-Micro Letters, vol. 17, no. 1.
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AbstractThe intricate hierarchical structure of musculoskeletal tissues, including bone and interface tissues, necessitates the use of complex scaffold designs and material structures to serve as tissue-engineered substitutes. This has led to growing interest in the development of gradient bone scaffolds with hierarchical structures mimicking the extracellular matrix of native tissues to achieve improved therapeutic outcomes. Building on the anatomical characteristics of bone and interfacial tissues, this review provides a summary of current strategies used to design and fabricate biomimetic gradient scaffolds for repairing musculoskeletal tissues, specifically focusing on methods used to construct compositional and structural gradients within the scaffolds. The latest applications of gradient scaffolds for the regeneration of bone, osteochondral, and tendon-to-bone interfaces are presented. Furthermore, the current progress of testing gradient scaffolds in physiologically relevant animal models of skeletal repair is discussed, as well as the challenges and prospects of moving these scaffolds into clinical application for treating musculoskeletal injuries.
Ganko, R, Madhavan, A, Hamouda, W, Muthu, S, Jain, A, Yoon, ST, El-Rozz, H, Cyril, D, Pabbruwe, M, Tipper, JL & Tavakoli, J 2025, 'Spinal implant wear particles: Generation, characterization, biological impacts, and future considerations', iScience, vol. 28, no. 4, pp. 112193-112193.
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Gao, W, Karsa, M, Xiao, L, Spurling, D, Karsa, A, Ronca, E, Bongers, A, Guo, X, Mayoh, C, Azfar, M, Verhelst, SHL, Tanaka, K, Cheung, LC, Kotecha, RS, Lock, RB, Burns, MR, Vangheluwe, P, Norris, MD, Haber, M & Somers, K 2025, 'Polyamine depletion limits progression of acute leukaemia', International Journal of Cancer, vol. 156, no. 12, pp. 2360-2376.
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AbstractCancer cells are addicted to polyamines, polycations essential for cellular function. While dual targeting of cellular polyamine biosynthesis and polyamine uptake is under clinical investigation in solid cancers, preclinical and clinical studies into its potential in haematological malignancies are lacking. Here we investigated the preclinical efficacy of polyamine depletion in acute leukaemia. The polyamine biosynthesis inhibitor difluoromethylornithine (DFMO) inhibited growth of a molecularly diverse panel of acute leukaemia cell lines, while non‐malignant cells were unaffected. Responsiveness to DFMO was linked to decreased levels of its molecular target, the rate‐limiting polyamine biosynthesis enzyme ODC1, and of the polyamine transporters ATP13A2 and ATP13A3. DFMO increased polyamine uptake and upregulated expression of polyamine transporters in acute leukaemia cells, a compensatory effect abolished by treatment with the polyamine transport inhibitor AMXT 1501. This drug, currently in a phase 1 clinical trial in solid tumours in combination with DFMO, potentiated the inhibitory effects of DFMO, and their combination synergistically inhibited the growth of acute leukaemia cell lines by inducing apoptosis. DFMO and AMXT 1501 limited disease progression in highly aggressive xenograft models of infant KMT2A‐rearranged leukaemia, even when treatment was initiated at high disease burden. Increased expression of c‐MYC was associated with enhanced sensitivity to the combination of DFMO and AMXT 1501, suggesting this oncoprotein as a potential predictive marker of response to the drug combination. In conclusion, targeting polyamine biosynthesis and polyamine uptake limits disease progression in models of acute leukaemia, supporting further preclinical and clinical investigation into this approach for acute leukaemia.
Ghimire, S, Deo, RC, Hopf, K, Liu, H, Casillas-Pérez, D, Helwig, A, Prasad, SS, Pérez-Aracil, J, Barua, PD & Salcedo-Sanz, S 2025, 'Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach', Energy and AI, vol. 20, pp. 100492-100492.
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Hashmi, A, Sidhu, S & Hutvagner, G 2025, 'Prognostic relevance of AGO2 expression in adrenocortical carcinoma (ACC): associations with clinicopathological features', Pathology, vol. 57, pp. S36-S36.
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Hill, M, Stapleton, S, Nguyen, PT, Sais, D, Deutsch, F, Gay, VC, Marsh, DJ & Tran, N 2025, 'The potential regulation of the miR-17–92a cluster by miR-21', The International Journal of Biochemistry & Cell Biology, vol. 178, pp. 106705-106705.
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Hjorth, M, Egan, CL, Telles, GD, Pal, M, Gallego-Ortega, D, Fuller, OK, McLennan, ED, Gillis, RD, Oh, TG, Muscat, GEO, Tegegne, S, Mah, MSM, Skhinas, J, Estevez, E, Adams, TE, McKay, MJ, Molloy, M, Watt, KI, Qian, H, Gregorevic, P, Cox, TR, Hojman, P, Midtgaard, J, Christensen, JF, Friedrichsen, M, Iozzo, RV, Sloan, EK, Drew, BG, Wojtaszewski, JFP, Whitham, M & Febbraio, MA 2025, 'Decorin, an exercise-induced secretory protein, is associated with improved prognosis in breast cancer patients but does not mediate anti-tumorigenic tissue crosstalk in mice', Journal of Sport and Health Science, vol. 14, pp. 100991-100991.
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Huynh, N, De Dios, K, Tran, TS, Center, JR & Nguyen, TV 2025, 'Association between the Sp1-binding-site polymorphism in the collagen type I alpha 1 (COLIA1) gene and bone phenotypes: the Dubbo Osteoporosis Epidemiology Study', Journal of Bone and Mineral Metabolism, vol. 43, no. 2, pp. 114-122.
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Ismail, M, Liu, J, Wang, N, Zhang, D, Qin, C, Shi, B & Zheng, M 2025, 'Advanced nanoparticle engineering for precision therapeutics of brain diseases', Biomaterials, vol. 318, pp. 123138-123138.
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Iyer, KS, Bao, L, Zhai, J, Jayachandran, A, Luwor, R, Li, JJ & Li, H 2025, 'Microgel-based bioink for extrusion-based 3D bioprinting and its applications in tissue engineering', Bioactive Materials, vol. 48, pp. 273-293.
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Jafari, M, Tao, X, Barua, P, Tan, R-S & Acharya, UR 2025, 'Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014–2024)', Information Fusion, vol. 118, pp. 102982-102982.
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Jia, T, Xia, J, Zhang, C, Sun, B, Yuan, K, Liu, T, Xu, X & Liu, J 2025, 'Comparing analgesic effects of temporal interference stimulation on ventral posterolateral thalamus and high-definition transcranial alternating current stimulation on sensorimotor cortex during sustained experimental pain', Brain Stimulation, vol. 18, no. 3, pp. 701-703.
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Jiu, J, Liu, H, Li, D, Li, X, Zhang, J, Yan, L, Fan, Z, Li, S, Du, G, Li, JJ, Wu, A, Liu, W, Du, Y, Zhao, B & Wang, B 2025, '3D Mechanical Response Stem Cell Complex Repairs Spinal Cord Injury by Promoting Neurogenesis and Regulating Tissue Homeostasis', Advanced Healthcare Materials, vol. 14, no. 7.
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AbstractSpinal cord injury (SCI) leads to acute tissue damage that disrupts the microenvironmental homeostasis of the spinal cord, inhibiting cell survival and function, and thereby undermining treatment efficacy. Traditional stem cell therapies have limited success in SCI, due to the difficulties in maintaining cell survival and inducing sustained differentiation into neural lineages. A new solution may arise from controlling the fate of stem cells by creating an appropriate mechanical microenvironment. In this study, mechanical response stem cell complex (MRSCC) is created as an innovative therapeutic strategy for SCI, utilizing 3D bioprinting technology and gelatin microcarriers (GM) loaded with mesenchymal stem cells (MSCs). GM creates an optimal microenvironment for MSCs growth and paracrine activity. Meanwhile, 3D bioprinting allows accurate control of spatial pore architecture and mechanical characteristics of the cell construct to encourage neuroregeneration. The mechanical microenvironment created by MRSCC is found to activate the Piezo1 channel and prevent excessive nuclear translocation of YAP, thereby increasing neural‐related gene expression in MSCs. Transplanting MRSCC in rats with spinal cord injuries boosts sensory and motor recovery, reduces inflammation, and stimulates the regeneration of neurons and glial cells. The MRSCC offers a new tissue engineering solution that can promote spinal cord repair.
Kanis, JA, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Vandenput, L, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O´Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, K, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wright, NC, Yoshimura, N, Zillikens, MC, Zwart, M, Harvey, NC, Lorentzon, M & Leslie, WD 2025, 'Rheumatoid arthritis and subsequent fracture risk: an individual person meta-analysis to update FRAX', Osteoporosis International, vol. 36, no. 4, pp. 653-671.
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Li, L, Deng, M, Su, S, Hall, RM & Tipper, JL 2025, 'An enhanced UHMWPE wear particle detection approach based on YOLOv9', Medical Engineering & Physics, vol. 142, pp. 104377-104377.
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Li, T, Li, G, Deng, X, Zhu, T, Li, JJ, Chen, C, Jia, J, Zhang, S & Zhang, K 2025, 'α‐Asarone Promotes Tendon–Bone Healing Through Regulating Dmp1 Transcription via Targeting Transcription Factor PPARG in BMSCs', The FASEB Journal, vol. 39, no. 11.
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ABSTRACTThe tendon–bone interface (TBI) is challenging to restore following injury, frequently resulting in unsatisfactory healing even after surgical reconstruction. α‐Asarone (αASA), a bioactive ingredient derived from the Chinese medicinal plant Calamus, has shown benefits in the treatment of inflammatory conditions. However, its applications in musculoskeletal repair are rarely investigated. This was the first study to examine the therapeutic effects of αASA on TBI healing and elucidate the associated healing mechanisms. In a mouse model of TBI healing, αASA treatment significantly improved the biomechanical properties and osseointegration of tendon–bone samples over 10 weeks. The addition of αASA to in vitro cultures of bone marrow mesenchymal stem cells (BMSCs) greatly enhanced osteogenic differentiation. Using network pharmacology, 114 co‐targeting genes were identified between αASA targets and TBI‐related genes. RNA‐seq analysis revealed that the top 20 differentially expressed genes (DEGs) were involved in tissue mineralization and ossification processes. A total of 207 transcription factors (TFs) were predicted for these DEGs, with 9 identified as core co‐target genes. Surface plasmon resonance (SPR) confirmed the strong affinity of αASA for the PPARG TF, while luciferase assays demonstrated PPARG binding to the Dmp1 promoter to regulate transcription. Thus, αASA promotes osteogenic differentiation and improves TBI healing by selectively downregulating PPARG, hence reducing PPARG binding to the Dmp1 promoter. This enhances Dmp1 transcription, a critical factor in osteoblast maturation and mineralization, leading to improved tendon–bone integration. These findings provide new insights into the potential to apply αASA for enhancing TBI healing in the management of tendon–bone injuries.
Lin, X, Zhang, Y, Li, J, Oliver, BG, Wang, B, Li, H, Yong, K-T & Li, JJ 2025, 'Biomimetic multizonal scaffolds for the reconstruction of zonal articular cartilage in chondral and osteochondral defects', Bioactive Materials, vol. 43, pp. 510-549.
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Liu Chung Ming, C, Patil, R, Refaat, A, Lal, S, Wang, X & Gentile, C 2025, 'Acetylcholine-loaded nanoparticles protect against doxorubicin-induced toxicity in in vitro cardiac spheroids', Biofabrication, vol. 17, no. 2, pp. 025023-025023.
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Abstract Doxorubicin (DOX) is widely used in chemotherapy, yet it significantly contributes to heart failure-associated death. Acetylcholine (ACh) is cardioprotective by enhancing heart rate variability and reducing mitochondrial dysfunction and inflammation. Nonetheless, the protective role of ACh in countering DOX-induced cardiotoxicity (DIC) remains underexplored as current approaches to increasing ACh levels are invasive and unsafe for patients. In this study, we explore the protective effects of ACh against DIC through three distinct ACh administration strategies: (i) freely-suspended 100 µM ACh; (ii) ACh-producing cholinergic neurons (CNs); or (iii) ACh-loaded nanoparticles (ACh-NPs). These are tested in in vitro cardiac spheroids (CSs), which have previously been shown to approximate the complex DIC. We assess ACh’s protective effects by measuring the toxicity ratio (cell death/viability), contractile activity, gene expression changes via qPCR and nitric oxide (NO) signaling. Our findings show that ACh effectively attenuates DOX-induced cell death and contractile dysfunction. ACh also counteracts the DOX-induced downregulation of genes controlling myocardial fibrosis, endothelial and cardiomyocyte dysfunction, and autonomic dysregulation. ACh cardioprotection against DOX is dependent on NO signaling in endothelial cells but not in cardiac myocytes or fibroblasts. Altogether, this study shows for the first time that elevating ACh levels showed a promising therapeutic approach for preventing DIC.
Liu, Y, Liu, R, Dong, J, Xia, X, Yang, H, Wei, S, Fan, L, Fang, M, Zou, Y, Zheng, M, Leong, KW & Shi, B 2025, 'Targeted protein degradation via cellular trafficking of nanoparticles', Nature Nanotechnology, vol. 20, no. 2, pp. 296-302.
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Mangiavillano, B, Franchellucci, G, Auriemma, F, Ramai, D, Larghi, A, Paduano, D, De Deo, D, Calabrese, F, Gentile, C, Fiacca, M, Facciorusso, A & Repici, A 2025, 'Pilot study of a novel lumen‐apposing metal stent for endoscopic ultrasound‐guided procedures in porcine models', DEN Open, vol. 5, no. 1.
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AbstractLumen‐apposing metal stents have expanded the therapeutic potential of interventional endoscopic ultrasound (EUS). The Hot‐Spaxus (Taewoong Medical Co., Ltd.), the second most commonly utilized lumen‐apposing metal stent, requires two operators for its release which has been considered a limitation compared to other lumen‐apposing metal stents. We aimed to test the feasibility and the technical success of a newly available version of the Hot‐Spaxus stent equipped with an innovative handle delivery system for EUS‐guided interventional procedures. We conducted a pilot study using porcine models. The novel Hot‐Spaxus 2 was tested by performing four EUS‐guided procedures including four EUS‐guided gallbladder drainage and 12 EUS‐guided gastrojejunostomy) procedures. Technical success was reported in 100% of cases. The mean procedure time for EUS‐guided gatrojejunostomyJ and EUS‐guided gallbladder drainage was 23.85 min (standard deviation 3.41) and 16.15 min (standard deviation 2.72), respectively. The distal and proximal flanges were safely released by the endosonographer without any complications. No adverse events were reported. In conclusion, the novel Hot‐Spaxus 2 stent may represent an improvement compared to the prior Spaxus model. Unlike its predecessor, this newly designed stent eliminates the need for two endoscopists and can be deployed by a single operator. Further human studies are necessary to validate its clinical effectiveness.
Newman, PLH, Mirkhalaf, M, Gauci, SC, Roohani, I, Biro, M, Barner‐Kowollik, C & Zreiqat, H 2025, '3D Printed Materials with Nanovoxelated Elastic Moduli', Advanced Materials, vol. 37, no. 15.
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AbstractFabrication methods that synthesize materials with higher precision and complexity at ever smaller scales are rapidly developing. Despite such advances, generating complex 3D materials with controlled mechanical properties at the nanoscale remains challenging. Exerting precise control over mechanical properties at the nanoscale would enable material strengths near theoretical maxima, and the replication of natural structures with hitherto unattainable strength‐to‐weight ratios. Here, a method for fabricating materials with nanovoxelated elastic moduli by employing a volume‐conserving photoresist composed of a copolymer hydrogel, along with OpenScribe, an open‐source software that enables the precise programming of material mechanics, is presented. Combining these, a material composed of periodic unit cells featuring heteromechanically tessellated soft‐stiff structures, achieving a mechanical transition over an order‐of‐magnitude change in elastic modulus within 770 nm, a 130‐fold improvement on previous reports, is demonstrated. This work critically advances material design and opens new avenues for fabricating materials with specifically tailored properties and functionalities through unparalleled control over nanoscale mechanics.
Nguyen, HN, Roohani, I, Hayles, A, Lu, Z, Vongsvivut, J, Vasilev, K, Truong, VK & Zreiqat, H 2025, 'Antibacterial Activity and Mechanisms of Magnesium‐Doped Baghdadite Bioceramics for Orthopedic Implants', Advanced NanoBiomed Research, vol. 5, no. 2.
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Baghdadite (BAG, Ca3ZrSi2O9), a calcium silicate compound with zirconium incorporation, shows significant potential in medical implants. However, its susceptibility to infections poses a considerable challenge. To tackle this problem, doping biocompatible magnesium (Mg) into BAG to create Mg‐BAG enhances antibacterial activity and prevents infection in orthopedic implants. Mg‐BAG demonstrates effectiveness against Gram‐positive Staphylococcus aureus and Gram‐negative Pseudomonas aeruginosa. This study finds that the antibacterial activity of Mg‐BAG is multifaced including causing the generation of reactive oxygen species (ROS) within cells and disrupting membrane potential, resulting in leakage of intracellular contents. The synchrotron macro attenuated total reflectance Fourier‐transform infrared microspectroscopy shows the impact of Mg‐BAG on bacteria, resulting in modifications to biomolecules such as lipids, protein structures, and the stability of nucleic acids. The combined effect of Mg ions (Mg2+) and intracellular ROS formation contributes to the disruption of biomolecules and bacterial cell death. Mg‐BAG is a promising next‐generation bioceramic offering innovative nonantibiotic solutions for preventing infection.
Nguyen, HT, Nguyen, BT, Tran, AV, Nguyen, TT, Ngo, LH, Vo, T, Nhung Thai, TH, Mai, LD, Tran, TS, Nguyen, TV & Ho-Pham, LT 2025, 'A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study', Osteoporosis and Sarcopenia, vol. 11, no. 1, pp. 9-14.
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Phuong, J, Lam, R, Moles, R, Mason, D, White, C, Center, J & Carter, S 2025, 'The design and evaluation of a bone health teaching module for secondary school students in NSW, Australia', Health Promotion Journal of Australia, vol. 36, no. 1.
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AbstractIssue AddressedThe growing prevalence of osteoporosis requires preventative management starting from an early age as peak bone mass is typically reached by age 30. However, current Australian adolescents are not adequately addressing key osteoprotective factors. Alarmingly, around 17% have insufficient vitamin D levels, 55% consume insufficient dietary calcium, and 79% are insufficiently active. Addressing these insufficiencies via bone health education and promoting healthier lifestyle choices are crucial to mitigate the risk of osteoporosis later in life.MethodsA mixed methods study was undertaken to assess the design and effectiveness of four bone health education modules implemented in PDHPE lessons across NSW secondary schools. Pre‐ and post‐module assessments included a multiple‐choice questionnaire on osteoporosis knowledge, and a survey based on the Theory of Planned Behaviour domains to examine influences on healthy bone behaviour. Statistical analysis, qualitative interviews, and focus groups were used to evaluate changes in knowledge and behaviour resulting from the modules.ResultsParticipation in bone health teaching modules improved students' knowledge and behaviours related to bone health. Subjective norms had the largest influence regarding behaviour changes. Both students and teachers engaged positively with the bone health modules, which were designed by clinicians and delivered by teachers.So What?The modules address knowledge gaps and provide strategies from an early age, empowering students and potentially contribute to improving long term bone health. There is a need to focus on promoting positive peer influence and facilitating easy access to bone‐healthy behaviours in se...
Phuong, J, Moles, R, Mason, D, White, C, Center, J & Carter, S 2025, 'Osteoporosis screening in Australian community pharmacies: A mixed methods study', Health Promotion Journal of Australia, vol. 36, no. 1.
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AbstractIssues AddressedOsteoporosis and poor bone health impact a large proportion of the Australian population, but is drastically underdiagnosed and undertreated. Community pharmacies are a strategic location for osteoporosis screening services due to their accessibility and the demographic profile of customers. The aim of this study was to develop, implement and evaluate a community pharmacy health promotion service centred on encouraging consumers to complete an anonymous osteoporosis screening survey called Know Your Bones.MethodsThe implementation process was documented using the REAIM (reach, effectiveness, adoption, implementation, maintenance) framework. Uptake of the Know Your Bones screening tool was monitored anonymously with website traffic. Surveys and interviews were designed to capture consumer outcomes after screening. Semi‐structured interviews were conducted with Australian community pharmacy stakeholders during design and implementation phases to explore their perspectives of the barriers and facilitators.ResultsThe service was implemented in 27 community pharmacies. There were 448 visits to the screening website. Interviews were conducted with 41 stakeholders. There were a range of factors that appeared to influence implementation of the service. Perceived acceptability was critical, which depended on staff training, pharmacists' altruism, and remuneration. Staff relied heavily on their existing close relationships with consumers. No consumers completed non‐anonymous surveys or agreed to participate in interviews post‐screening.ConclusionUsing an implementation science approach, a community pharmacy osteoporosis screening service for the Australian context was designed and found ...
Poyraz, M, Poyraz, AK, Dogan, Y, Gunes, S, Mir, HS, Paul, JK, Barua, PD, Baygin, M, Dogan, S, Tuncer, T, Molinari, F & Acharya, R 2025, 'BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images', Cognitive Neurodynamics, vol. 19, no. 1.
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Abstract The main aim of this study is to propose a novel convolutional neural network, named BrainNeXt, for the automated brain disorders detection using magnetic resonance images (MRI) images. Furthermore, we aim to investigate the performance of our proposed network on various medical applications. To achieve high/robust image classification performance, we gathered a new MRI dataset belonging to four classes: (1) Alzheimer's disease, (2) chronic ischemia, (3) multiple sclerosis, and (4) control. Inspired by ConvNeXt, we designed BrainNeXt as a lightweight classification model by incorporating the structural elements of the Swin Transformers Tiny model. By training our model on the collected dataset, a pretrained BrainNeXt model was obtained. Additionally, we have suggested a feature engineering (FE) approach based on the pretrained BrainNeXt, which extracted features from fixed-sized patches. To select the most discriminative/informative features, we employed the neighborhood component analysis selector in the feature selection phase. As the classifier for our patch-based FE approach, we utilized the support vector machine classifier. Our recommended BrainNeXt approach achieved an accuracy of 100% and 91.35% for training and validation. The recommended model obtained the test classification accuracy of 94.21%. To further improve the classification performance, we suggested a patch-based DFE approach, which achieved a test accuracy of 99.73%. The obtained results, surpassing 90% accuracy on the test dataset, demonstrate the effectiveness and high classification performance of the proposed models.
Roohani, I, Wang, S, Xu, C, Newman, P, Entezari, A, Lai, Y & Zreiqat, H 2025, 'Bioinspired Nanoscale 3D Printing of Calcium Phosphates Using Bone Prenucleation Clusters', Advanced Materials, vol. 37, no. 13.
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AbstractCalcium phosphates (CaPs) are ubiquitous in biological structures, such as vertebrate bones and teeth, and have been widely used in biomedical applications. However, fabricating CaPs at the nanoscale in 3D has remained a significant challenge, particularly due to limitations in current nanofabrication techniques, such as two‐photon polymerization (2pp), which are not applicable for creating CaP nanostructures. In this study, a novel approach is presented to 3D print CaP structures with unprecedented resolution of ≈300 nm precision, achieving a level of detail three orders of magnitude finer than any existing additive manufacturing techniques for CaPs. This advancement is achieved by leveraging bioinspired chemistry, utilizing bone prenucleation nanoclusters (PNCs, average size of 5 nm), within a photosensitive resin. These nanoclusters form a highly transparent photoresist, overcoming the light‐scattering typically associated with larger calcium phosphate‐based nanoparticles. This method not only allows for nanopatterning of CaPs on diverse substrates, but also enables the precise control of microstructure down to the level of submicron grains. The method paves the way for the developing of bioinspired metamaterials, lightweight damage‐tolerant materials, cell‐modulating interfaces, and precision‐engineered coatings.
Sabahi, N, Roohani, I, Wang, CH & Li, X 2025, 'Material extrusion 3D printing of bioactive smart scaffolds for bone tissue engineering', Additive Manufacturing, vol. 98, pp. 104636-104636.
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Salomon, R, Razavi Bazaz, S, Mutafopulos, K, Gallego-Ortega, D, Warkiani, M, Weitz, D & Jin, D 2025, 'Challenges in blood fractionation for cancer liquid biopsy: how can microfluidics assist?', Lab on a Chip, vol. 25, no. 5, pp. 1097-1127.
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Microfluidic blood fractionation has a critical role in enhancing liquid biopsy. Liquid biopsy allows molecular and phenotypic characteristics of a patient's tumor by detecting evidence of cancerous changes in readily accessible samples like blood.
Sercek, I, Sampathila, N, Tasci, I, Ekmekyapar, T, Tasci, B, Barua, PD, Baygin, M, Dogan, S, Tuncer, T, Tan, R-S & Acharya, UR 2025, 'A new quantum-inspired pattern based on Goldner-Harary graph for automated alzheimer’s disease detection', Cognitive Neurodynamics, vol. 19, no. 1.
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Abstract Alzheimer's disease (AD) is a common cause of dementia. We aimed to develop a computationally efficient yet accurate feature engineering model for AD detection based on electroencephalography (EEG) signal inputs. New method: We retrospectively analyzed the EEG records of 134 AD and 113 non-AD patients. To generate multilevel features, a multilevel discrete wavelet transform was used to decompose the input EEG-signals. We devised a novel quantum-inspired EEG-signal feature extraction function based on 7-distinct different subgraphs of the Goldner-Harary pattern (GHPat), and selectively assigned a specific subgraph, using a forward-forward distance-based fitness function, to each input EEG signal block for textural feature extraction. We extracted statistical features using standard statistical moments, which we then merged with the extracted textural features. Other model components were iterative neighborhood component analysis feature selection, standard shallow k-nearest neighbors, as well as iterative majority voting and greedy algorithm to generate additional voted prediction vectors and select the best overall model results. With leave-one-subject-out cross-validation (LOSO CV), our model attained 88.17% accuracy. Accuracy results stratified by channel lead placement and brain regions suggested P4 and the parietal region to be the most impactful. Comparison with existing methods: The proposed model outperforms existing methods by achieving higher accuracy with a computationally efficient quantum-inspired approach, ensuring robustness and generalizability. Cortex maps were generated that allowed visual correlation of channel-wise results with various brain regions, enhancing model explainability.
Shuvo, SB, Alam, SS, Ayman, SU, Chakma, A, Salvi, M, Seoni, S, Barua, PD, Molinari, F & Acharya, UR 2025, 'Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review', WIREs Data Mining and Knowledge Discovery, vol. 15, no. 2.
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ABSTRACTThe integration of wavelet transformation and artificial intelligence techniques has demonstrated significant potential in healthcare applications. Wavelet analysis enables multi‐scale signal decomposition and feature extraction that, when combined with machine and deep learning approaches, enhance the accuracy and efficiency of medical data analysis. This systematic review synthesizes 112 relevant studies from 2013 to 2023 exploring wavelet‐based artificial intelligence in healthcare. Our analysis reveals that the discrete wavelet transform dominates (43% of studies), primarily used for feature extraction from biosignals (82%) and medical images. Major applications include cardiac abnormality detection (29%), neurological disorder diagnosis (27%), and mental health assessment (16%), with classification accuracies frequently exceeding 95%. Key findings indicate a shift from traditional machine learning to deep learning approaches after 2020, with emerging trends in hybrid architectures. The review identifies critical challenges in computational efficiency, optimal wavelet selection, and clinical validation. Future developments should focus on real‐time processing optimization, interpretable deep learning models, multi‐modal data fusion, and validation on larger clinical datasets, advancing the translation of these systems into practical clinical tools.
Su, X, Liu, Y, Zhong, Y, Shangguan, P, Liu, J, Luo, Z, Qi, C, Guo, J, Li, X, Lin, D, Wang, G, Wang, D, Han, T, Wang, J, Shi, B & Tang, BZ 2025, 'A Brain-Targeting NIR-II Polymeric Phototheranostic Nanoplatform toward Orthotopic Drug-Resistant Glioblastoma', Nano Letters, vol. 25, no. 9, pp. 3445-3454.
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Tarsitano, M, Liu Chung Ming, C, Bennar, L, Mahmodi, H, Wyllie, K, Idais, D, Al Shamery, W, Paolino, D, Cox, TR, Kabakova, I, Ralph, P & Gentile, C 2025, 'Chlorella-enriched hydrogels protect against myocardial damage and reactive oxygen species production in an in vitro ischemia/reperfusion model using cardiac spheroids', Biofabrication, vol. 17, no. 1, pp. 015006-015006.
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Abstract Microalgae have emerged as promising photosynthetic microorganisms for biofabricating advanced tissue constructs, with improved oxygenation and reduced reactive oxygen species (ROS) production. However, their use in the engineering of human tissues has been limited due to their intrinsic growth requirements, which are not compatible with human cells. In this study, we first formulated alginate–gelatin (AlgGel) hydrogels with increasing densities of Chlorella vulgaris. Then, we characterised their mechanical properties and pore size. Finally, we evaluated their effects on cardiac spheroid (CS) pathophysiological response under control and ischemia/reperfusion (I/R) conditions. Our results showed that the addition of Chlorella did not affect AlgGel mechanical properties, while the mean pore size significantly decreased by 35% in the presence of the 107 cells ml−1 microalgae density. Under normoxic conditions, the addition of 107 Chlorella cells ml−1 significantly reduced CS viability starting from 14 d in. No changes in pore size nor CS viability were measured for hydrogels containing 105 and 106 Chlorella cells ml−1. In our I/R model, all Chlorella-enriched hydrogels reduced cardiac cell sensitivity to hypoxic conditions with a corresponding reduction in ROS production, as well as protected against I/R-induced reduction in cell viability. Altogether, our results support a promising use of Chlorella-enriched Alg–Gel hydrogels for cardiovascular tissue engineering.
Tuncer, I, Baig, AH, Barua, PD, Hajiyeva, R, Massimo, S, Dogan, S, Tuncer, T & Acharya, UR 2025, 'FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection', Biomedical Signal Processing and Control, vol. 104, pp. 107538-107538.
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Vasilescu, SA, Goss, DM, Gurner, KH, Kelley, RL, Mazi, M, De Bond, FK, Lorimer, J, Horta, F, Parast, FY, Gardner, DK, Nosrati, R & Warkiani, ME 2025, 'A biomimetic sperm selection device for routine sperm selection', Reproductive BioMedicine Online, vol. 50, no. 2, pp. 104433-104433.
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Vicnesh, J, Salvi, M, Hagiwara, Y, Yee, HY, Mir, H, Barua, PD, Chakraborty, S, Molinari, F & Rajendra Acharya, U 2025, 'Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024)', IEEE Access, vol. 13, pp. 5949-5973.
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Wang, W, Mao, W, Sun, H, Hou, F, Wang, W, Liu, W, Shi, Z, Lin, G, Wang, M, Fang, G, Cheng, YY & Xu, C 2025, 'Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis', Biosensors and Bioelectronics, vol. 271, pp. 116983-116983.
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Wang, Y, Bui, TA, Yang, X, Hutvagner, G & Deng, W 2025, 'Advancements in gene therapies targeting mutant KRAS in cancers', Cancer and Metastasis Reviews, vol. 44, no. 1.
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Abstract Mutations in the KRAS gene are well-known tumourigenic drivers of colorectal, pancreatic and lung cancers. Mechanistically, these mutations promote uncontrolled cell proliferation and alter the tumour microenvironment during early carcinoma stages. Given their critical carcinogenic functions, significant progress has been made in developing KRAS inhibitors for cancer treatment. However, clinical applications of these KRAS inhibitor compounds are limited to specific cancer types which carry the relevant KRAS mutations. Additionally, clinical findings have shown that these compounds can induce moderate to serious side effects. Therefore, new approaches have emerged focusing on the development of universal therapeutics capable of targeting a wider range of KRAS mutations, minimising toxicity and enhancing the therapeutic efficacy. This review aims to examine these therapeutic strategies in the context of cancer treatment. It firstly provides an overview of fundamental KRAS biology within the cell signalling landscape and how KRAS mutations are associated with cancer pathogenesis. Subsequently, it introduces the development of current KRAS inhibitors which target certain KRAS mutants in different types of cancer. It then explores the potential of gene therapy approaches, including siRNA, miRNA and CRISPR methodologies. Furthermore, it discusses the use of lipid-based nanocarriers to deliver gene cargos for targeting KRAS gene mutants. Finally, it provides the insights into the future prospects for combatting KRAS mutation-associated cancers. Graphical Abstract
Xing, D, Xu, M, Shuang, X, Li, JJ, Sun, D, Wang, Y, Li, M, Feng, S & Ning, G 2025, 'Immune regulated fibrous membrane loaded FK506 enhances peripheral nerve regeneration', Chemical Engineering Journal, vol. 505, pp. 159075-159075.
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Yaman, S, Aslan, O, Güler, H, Sengur, A, Hafeez-Baig, A, Tan, R-S, Deo, RC, Barua, PD & Acharya, UR 2025, 'Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)', Computer Methods and Programs in Biomedicine, vol. 268, pp. 108858-108858.
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Yang, P, Boer, G, Snow, F, Williamson, A, Cheeseman, S, Samarasinghe, RM, Rifai, A, Priyam, A, Elnathan, R, Guijt, R, Quigley, A, Kaspa, R, Nisbet, DR & Williams, RJ 2025, 'Test and tune: evaluating, adjusting and optimising the stiffness of hydrogels to influence cell fate', Chemical Engineering Journal, vol. 505, pp. 159295-159295.
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Yildirim, K, Keles, T, Dogan, S, Tuncer, T, Tasci, I, Hafeez-Baig, A, Barua, PD & Acharya, UR 2025, 'DMPat-based SOXFE: investigations of the violence detection using EEG signals', Cognitive Neurodynamics, vol. 19, no. 1.
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Abstract Automatic violence detection is one of the most important research areas at the intersection of machine learning and information security. Moreover, we aimed to investigate violence detection in the context of neuroscience. Therefore, we have collected a new electroencephalography (EEG) violence detection dataset and presented a self-organized explainable feature engineering (SOXFE) approach. In the first phase of this research, we collected a new EEG violence dataset. This dataset contains two classes: (i) resting, (ii) violence. To detect violence automatically, we proposed a new SOXFE approach, which contains five main phases: (1) feature extraction with the proposed distance matrix pattern (DMPat), which generates three feature vectors, (2) feature selection with iterative neighborhood component analysis (INCA), and three selected feature vectors were created, (3) explainable results generation using Directed Lobish (DLob) and statistical analysis of the generated DLob string, (4) classification deploying t algorithm-based k-nearest neighbors (tkNN), and (5) information fusion employing mode operator and selecting the best outcome via greedy algorithm. By deploying the proposed model, classification and explainable results were generated. To obtain the classification results, tenfold cross-validation (CV), leave-one-record-out (LORO) CV were utilized, and the presented model attained 100% classification accuracy with tenfold CV and reached 98.49% classification accuracy with LORO CV. Moreover, we demonstrated the cortical connectome map related to violence. These results and findings clearly indicated that the proposed model is a good violence detection model. Moreover, this model contributes to feature engineering, neuroscience and social security.
Yin, Q, Yang, Z, Chong, SW, Li, J, Liu, X, Vigolo, D, Li, JJ, Sheehy, PA & Yong, K 2025, 'Application of microfluidic technologies in veterinary science with a view toward development of animal‐on‐a‐chip models', VIEW, vol. 6, no. 1.
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AbstractThe advancement of veterinary science relies on the adoption of modern technologies, more recently including molecular diagnostics, genomic research, precision medicine approaches, and advanced diagnostic imaging. Recent advancements in microfluidics have brought tremendous attention to human disease modeling, diagnosis, and drug development. Specifically, organ‐on‐a‐chip, a subset of microfluidic technology, is characterized by its ability to mimic the human in vivo microenvironment and improve cost efficiency in drug development. Recent studies have demonstrated huge potential in translating human‐centered microfluidic technologies to veterinary science, which can help to deepen our understanding of animal diseases and disorders and develop targeted treatments for diverse animal species, including companion animals, livestock, and wildlife. Further, the ongoing impact of climate change has heightened the threat of diseases among animal populations as well as the potential impact of zoonotic pathogens. New tools for in‐depth exploration of animal physiologies and diseases are essential to mitigate the risk of species extinction and safeguard animal well‐being. Building upon the achievements in human‐based microfluidic studies, we propose the comprehensive integration of this technology into veterinary research. This review provides an overview of microfluidic technology, its current applications in veterinary science, and discusses future directions and challenges toward the development of animal‐on‐a‐chip systems.
Zhand, S, Goss, DM, Cheng, YY & Warkiani, ME 2025, 'Recent Advances in Microfluidics for Nucleic Acid Analysis of Small Extracellular Vesicles in Cancer', Advanced Healthcare Materials, vol. 14, no. 4.
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AbstractSmall extracellular vesicles (sEVs) are membranous vesicles released from cellular structures through plasma membrane budding. These vesicles contain cellular components such as proteins, lipids, mRNAs, microRNAs, long‐noncoding RNA, circular RNA, and double‐stranded DNA, originating from the cells they are shed from. Ranging in size from ≈25 to 300 nm and play critical roles in facilitating cell‐to‐cell communication by transporting signaling molecules. The discovery of sEVs in bodily fluids and their involvement in intercellular communication has revolutionized the fields of diagnosis, prognosis, and treatment, particularly in diseases like cancer. Conventional methods for isolating and analyzing sEVs, particularly their nucleic acid content face challenges including high costs, low purity, time‐consuming processes, limited standardization, and inconsistent yield. The development of microfluidic devices, enables improved precision in sorting, isolating, and molecular‐level separation using small sample volumes, and offers significant potential for the enhanced detection and monitoring of sEVs associated with cancer. These advanced techniques hold great promise for creating next‐generation diagnostic and prognostic tools given their possibility of being cost‐effective, simple to operate, etc. This comprehensive review explores the current state of research on microfluidic devices for the detection of sEV‐derived nucleic acids as biomarkers and their translation into practical point‐of‐care and clinical applications.
Zhang, A, Lu, Z, Roohani, I, Liu, B, Jarvis, KL, Tan, R, Wise, SG, Bilek, MMM, Mirkhalaf, M, Akhavan, B & Zreiqat, H 2025, 'Bioinstructive 3D-Printed Magnesium-Baghdadite Bioceramic Scaffolds for Bone Tissue Engineering', ACS Applied Materials & Interfaces, vol. 17, no. 10, pp. 15220-15236.
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Zhou, T, Fang, G, Wang, Z, Qiao, Z, Nie, N, Fu, B, Tseng, P-H, Sun, X & Chen, Y-C 2025, 'Digital Lasing Biochip for Tumor-Derived Exosome Analysis', Analytical Chemistry, vol. 97, no. 10, pp. 5605-5611.
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Zhu, H, Fang, G, Nie, N, Xie, J, Tseng, P-H, Xiong, Z, Jiang, D, Mao, C-J, Zhu, J-J, Chew, SY & Chen, Y-C 2025, 'Breathing Laser-Spectral Mapping of Cavity-Enhanced Redox Reactions with Subcellular Resolution', ACS Nano, vol. 19, no. 11, pp. 10955-10965.
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Zou, Y, Li, S, Li, Y, Zhang, D, Zheng, M & Shi, B 2025, 'Glioblastoma Cell Derived Exosomes as a Potent Vaccine Platform Targeting Primary Brain Cancers and Brain Metastases', ACS Nano, vol. 19, no. 18, pp. 17309-17322.
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