College of Medicine
Yin Lab
Led by Rui Yin · Health Outcomes and Biomedical Informatics
What we study
The lab uses computer models and machine learning to study viruses, rare diseases, cancer, and Alzheimer's. They analyze data to predict virus behavior, disease risks, and treatment options.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 3
Current projects
Integrative Real-World Data and AI for Identifying Alzheimer’s Disease Progression Rate-based Sub-phenotypes and Associated Risk Factors
Using AI to analyze health data to understand Alzheimer's progression.
Deciphering Human-KSHV Protein Interactions Driving Kaposi Sarcoma with AI Models
Uses AI models to predict which human and viral proteins interact in Kaposi sarcoma, a cancer caused by KSHV.
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Decipher microRNA mis-regulation in Colorectal Cancer via Semantic Embedded Graph Neural Networks
Uses graph neural networks, a type of AI, to find how microRNA regulation goes wrong in colorectal cancer.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
How to reach out
Rui Yin hasn't set up this page yet. Their UF Scholars profile lists their publications.