AI and Multiomics Integration for Enhanced Target Identification and Validation | Kisaco Research

Learn how AI-driven approaches integrate multiomics data, including genomics, proteomics, and transcriptomics, to identify potential drug targets and disease biomarkers for complex diseases.
Explore how AI models synthesize cross-omic data and real-time multiomic information to uncover novel biological mechanisms, identify potential biomarkers and enable precision medicine.

Speaker(s): 

Author:

Kiran Nistala

Head, Functional Genomics
Alkermes

Kiran Nistala

Head, Functional Genomics
Alkermes
Time: 
12:45 PM - 1:15 PM
Agenda Track No.: 
Track 1
Session Type: 
General Session (Presentation)