MACHINE LEARNING APPLICATIONS FOR GI CANCER BIOMARKER DISCOVERY

SOCIETY: AGA Aging is associated with increased GI cancer risk but the mechanisms underlying these age related effects are incompletely understood. Better understanding of mechanisms of aging and GI carcinogenesis will enable new approaches to early detection and prevention…

Uncover the genetic and molecular foundations of GI disorders to drive precision medicine and innovative therapies…

Background: Tumor recurrence is the event that has a major impact on survival after local resection of submucosal colorectal cancers (T1 CRC). However, currently, there are no established biomarkers to predict disease-free survival (DFS) in T1 CRC…

The epigenome is the heritable portion of the genome that is mediated by chemical modification of DNA (methylation) or nuclear proteins (histones, transcription factors) without changing the DNA sequence…