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): 
Moderator

Author:

Raju Pusapati

Vice President, Life Sciences
Solix Technologies Inc.

Raju Pusapati

Vice President, Life Sciences
Solix Technologies Inc.

Author:

Kiran Nistala

Head, Functional Genomics
Alkermes

Kiran Nistala

Head, Functional Genomics
Alkermes

Author:

Harris Bell-Temin

Director, Proteomics
Johnson & Johnson Innovative Medicine

Harris Bell-Temin

Director, Proteomics
Johnson & Johnson Innovative Medicine

Author:

Arthur Liberzon

Director, AI Research Lead for Omics, Oncology Data Science
AstraZeneca

Arthur Liberzon

Director, AI Research Lead for Omics, Oncology Data Science
AstraZeneca
Time: 
12:45 PM - 1:15 PM
Agenda Track No.: 
Track 1
Session Type: 
General Session (Presentation)