Bridging the Dimensions: Unleashing the Power of Deep Learning in Precision Medicine

Program Committee Moderator(s)

• 

  Heather Blankenship, PhD

  Genomics Technical Director
  Michigan Department of Health and Human Services
  Lansing, Michigan, United States

Co-Moderator (Early Career)(s)

• 

  Shrey Sukhadia, PhD (he/him/his)

  Assistant Director of Genome Informatics
  DHMC
  Lebanon, New Hampshire, United States

Session

Description: In this breakout session, we will explore the application of deep learning methodologies in advancing precision medicine across diverse domains. The first speaker will focus on employing multimodal deep learning to seamlessly integrate pathology whole-slide images and molecular profile data from various cancer types. The second speaker will explore the innovative use of large language models in clinical phenotype-driven gene prioritization, aiming to return genomic-informed risk to the EHR and communicate the findings with clinicians and patients.

If this session topic is of interest to you, please consider looking at the following course on AMP EDucation (AMPED™ Online)

Title: Artificial Intelligence and Molecular Pathology: An Introduction to Principles, Techniques and Applications
Introduction to FHIR: Applications in Pathology
Click here to learn more.
Click here to learn more.

Presentations:

• 10:15 AM – 11:00 AM PST

  Exploring Multimodal Deep Learning: Integrating Diverse Data for Enhanced Insights
  

  Breakout Speaker: Faisal Mahmood, Ph.D. – Brigham and Women's Hospital
• 11:00 AM – 11:45 AM PST

  Advancing Genomic Medicine: Leveraging Large Language Models and Polygenic Risk Scores in Clinical Practice
  

  Breakout Speaker: Cong Liu, PhD (he/him/his) – Boston Children's Hospital