Day 5: Applications of AI in Clinical & Digital Health

Author

Wen Zhong

Published

October 23, 2025

Learning objectives
  • Understand real-world applications of AI in clinical and digital health settings.
  • Learn strategies for translating AI research into practical healthcare solutions from an innovation perspective.

Lectures

[09:00-10:30] Lecture 1: Survom’s Multi-Omics AI for Metabolic Dysfunction–Associated Steatotic Liver Disease (MASLD): From Data to Therapies

Speaker: Vikash Pandey

The startup, Survom, and AI-driven multi-omics tools, with a case study on MASLD drug-target discovery and non-invasive biomarker identification

[10:30-10:45] Break

[10:45-12:00] Lecture 2: Building Blocks of Innovation: from research to impact

Speaker: Ali Moshfegh

Introduction on how to initiate an innovation project, translating a research study into practical applications.

Afternoon Discussion

[13:00-16:00] Group Discussion & Feedback Session

Discussion host: Alberto Zenere

Data project grouping and requirements for the final oral presentation will be introduced. Free time for group discussion.