Cell Maps for AI: Building detailed human cell maps to guide AI in genomics
Official title: Bridge2AI: Cell Maps for AI (CM4AI) Data Generation Project
Funded at University of California, San Diego · NIH-11611072 · Data updated 2026-11-12
A project at UCSD is generating complex maps of human cell structure and function to help AI understand how genetic differences lead to health outcomes.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | September 1, 2022 |
| Project end | November 30, 2026 |
| Funding year | 2026 |
| Award (this year) | $499,569 |
| NIH project number | 3OT2OD032742-01S4 |
| Project ID | NIH-11611072 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians working with genomic data or cellular models can benefit from improved AI tools and datasets.
✕Less likely to help
Direct patient treatment or participation is not involved in this grant.
What this research studies
This NIH-funded effort creates large, multi-dimensional maps of human cells using proteomics, imaging, and CRISPR-based perturbations. The data and tools will be shared openly with standards that ensure easy reuse and reproducibility, so researchers can build more transparent AI models for genomics. Training and mentoring in biomachine learning will be part of the program, helping clinicians and scientists translate findings into patient care over time.
Why it matters
Potential benefit: If successful, the project could improve the interpretability of AI models used in precision medicine, aiding more accurate and explainable genomic-based decisions.
How similar studies have gone: Previous efforts in cell mapping and FAIR data practices have advanced AI in biology, with growing success in interpretable models.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Ideker, Trey — University of California, San Diego
- Study coordinator: Ideker, Trey
Related research
Other NIH-funded projects on the same topics.
-
Improved MRI guidance for pediatric heart catheterization using autonomous multi-beat image synthesis
Aiming to make MRI-guided pediatric heart catheterizations safer and more reliable by using smart, multi-beat data fusion to produce clearer real-time MRI images.
-
Adapting a combination approach to reduce heavy drinking and boost HIV care and prevention among young men
A pilot project tests a proven program that helps young men cut down on heavy drinking and improves HIV treatment and prevention outcomes.
-
How specific anti-NMDAR1 antibodies in the blood may affect memory and brain protection
This research is exploring whether natural or abnormal anti-NMDAR1 antibodies in the blood influence memory, behavior, and brain protection in humans.
-
Screening and treatment of Chlamydia infection in pregnancy to help prevent preterm birth
This grant studies whether screening pregnant people for Chlamydia trachomatis and treating those who are positive can reduce the risk of preterm birth.
-
Pharmacometrics Core at UC San Diego
A pharmacometrics core is funded to support researchers in analyzing drug data to improve how medicines work for patients.
-
Milk Analytics Core for Precision Dairy Research
A core facility at UC San Diego will provide specialized milk analysis services to support research on dairy biology and human health.
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.