September 24, 2025
Dr. Fei Wang Explores AI-Driven Insights in Biomedical Data at TDAI
On September 22, the Translational Data Analytics Institute (TDAI) hosted Dr. Fei Wang for a talk on Deriving Holistic Insights from Biomedical Data. Dr. Wang, a leading researcher in biomedical informatics, shared how artificial intelligence and data science can transform the way we understand, diagnose, and treat disease. View event details →
During the presentation, Dr. Wang highlighted several projects that use advanced computational approaches to address complex medical challenges. These included:
- Pain mechanisms in rheumatoid arthritis: Identifying novel gene expressions that explain patient pain independent of inflammation, offering new treatment pathways.
- COVID-19 and cancer vulnerability: Using single-cell multi-omics modeling to reveal how specific genes, like IL-6, contribute to severe outcomes.
- Drug repurposing with real-world data: Mining electronic health records to evaluate existing medications, such as metformin, for potential benefits in Alzheimer’s disease.
- Clinical trial innovation: Leveraging AI to design more efficient trials, identify patient subtypes, and improve predictions of treatment response.
Dr. Wang emphasized that combining diverse data—genomic, clinical, and real-world evidence—can reduce the gap between experimental findings and patient outcomes. His work illustrates how AI can accelerate the entire drug discovery and development pipeline, from hypothesis generation to post-market surveillance.
The talk underscored the transformative role of interdisciplinary collaboration in biomedical research, aligning with TDAI’s mission to advance data science for societal impact.