1278-Multi-Omics for Pulmonary Adenocarcinoma Grading

Paper Talk · Jul 14, 2026 · 25m

This study introduces a bio-interpretable ensemble learning model designed to accurately categorize the severity of invasive pulmonary adenocarcinoma (IPA). By integrating computed tomography (CT) scans with whole slide pathology images, the researchers developed a multimodal tool that identifies high-grade tumors more reliably than traditional manual assessments. Beyond mere prediction, the project connects specific imaging phenotypes to underlying biological pathways, such as cell proliferation and DNA repair, through extensive genomic analysis. Results across multiple medical centers…