Leveraging AI, Clinical Data and Knowledge Networks to Derive Insights into Alzheimer's Disease
When: Jan. 9th, 2025 12:00 pm - 1:00 pm
Learning Level: Any
To Know
Where:
Online Webinar
Organizer:
NIA Artificial Intelligence Lecture Series
Presented By:
Alice Tang (UCSF)
About this Class
Alzheimer’s Disease (AD) presents significant challenges in prevention and treatment despite decades of research advancements. Innovative AI/ML approaches enable analysis of real-world data sources, such as electronic health records (EHRs) and longitudinal multimodal data to derive insights without the constraints of predefined selection criteria. Recent developments in integrative heterogeneous graph databases enable the synthesis of knowledge across omics relationships, facilitating the identification of molecular hypotheses linked to complex clinical phenotypes.
Registration in advance is requested.