AI/ML Pipeline to Identify Genetic Biomarkers and Predict Disease for Precision Medicine

Saturday, November 18, 2023

10:15 AM - 10:45 AM MST

Speaker(s)

Zeeshan Ahmed, PhD (he/him/his)

Assistant Professor
Rutgers Institute for Health, Health Care Policy and Aging Research. Rutgers Robert Wood Johnson Medical School. Rutgers Biomedical and Health Sciences. Rutgers, The State University of New Jersey.
East Brunswick, New Jersey, United States

Session Description: The use of AI and machine learning has become routine in many areas of healthcare. This session will include discussions on the use of machine learning techniques to identify biomarkers and predict complex traits, estimating tumor purity and potential sources of bias, and considerations for constructing effective machine learning models.

Learning Objectives:

Introduction to AI/ML pipeline for deep phenotyping and predictive analytics
Describe an approach for using weakly supervised models for digital pathology
Identify ways to reduce bias and improve training data