A Deep Learning Tool to Aid Precision Medicine in Pulmonary Fibrosis

Start year: 2024

Summary: The aim of this project is to improve our understanding of the pathogenesis of pulmonary fibrosis (PF) and identify biomarkers and therapeutic targets using multi-omics. We will perform spatial proteomics on lung sections from PF patients. We will assess a time-course of experimental models of PF to define early stage gene and protein changes, validate and translate in human data and functionally explore in experimental models.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.