Image Analytics to Connect Genes to Physiology

Tuesday, November 12 • 1:30 p.m. – 3:00 p.m.

The session aims to highlight approaches employing imaging and image analytics to study systems ranging in scale from the gene to the tissue or organ level. In particular, studies that integrate results from the two ends of the scale allow us to understand how genetic components drive disease phenotypes as observed in histopathological data will be of interest. All imaging modalities will be considered, and approaches that highlight automatic and high-throughput techniques will be considered, potentially applying modern M/L and AI methods. 

Session Chairs:

Rajarshi Guha, Ph.D. (Vertex Pharmaceuticals)

Adam Bleckert, Ph.D. (Vertex Pharmaceuticals)

Speakers:

Mingyao Li, Ph.D. (University of Pennsylvania)
Topic: Unlocking the Power of Spatial Transcriptomics by AI-Enabled Digital Pathology

Roarke Horstmeyer, M.S., Ph.D. (Duke University, Romona Optics)
Topic: High throughput physiological profiling of model organisms with the multi-camera array microscope

John Arevalo, M.Eng., Ph.D. (Broad Institute of MIT and Harvard)
Topic: Integrating Cell Painting data into Graph Neural Networks for Drug-Target Interaction Prediction