AI tools to personalize medicines for cancer and autoimmune conditions
Novel computational approaches for pharmacogenomics of complex diseases
This project builds AI that uses genetic and molecular information to help match medicines to people with cancer or autoimmune conditions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11175373 on NIH RePORTER |
What this research studies
Researchers will build advanced AI models that combine patients' genes, proteins, and other molecular data with published biomedical studies to predict how drugs affect diseased cells. They will focus on cancer and autoimmune diseases and test models using large multi-omic datasets to find important gene–drug interactions and likely treatment effects. The team will also create easy-to-use online tools so doctors and scientists can apply the findings. The work aims to generate laboratory and clinical leads that could guide future patient testing.
Who could benefit from this research
Good fit: Ideal candidates are people with cancer or autoimmune diseases who can share genomic or molecular data or who might join future lab or clinical follow-up studies.
Not a fit: People needing immediate treatment decisions or those whose conditions are not represented in the datasets may not receive direct benefits from this computational work.
Why it matters
Potential benefit: If successful, these tools could help identify better treatment options or new drug targets for people with cancer and autoimmune diseases.
How similar studies have performed: Related AI and pharmacogenomics projects have produced promising lab findings and candidate drug–gene matches but have rarely yet translated directly into new approved therapies.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Chiu, Yu-Chiao — University of Pittsburgh at Pittsburgh
- Study coordinator: Chiu, Yu-Chiao
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.