Optimizing lung cancer care with smart tools for prevention, early detection, treatment, and survivorship
Official title: Optimizing lung cancer interventions in a dynamic landscape for tobacco use, early detection, treatment, and survivorship care
Funded at Rutgers Biomedical and Health Sciences · NIH-11495828 · Data updated 2026-11-12
A U01 grant using AI and biomarkers to improve lung cancer prevention, screening, treatment, and survivorship care for people at risk or living with lung cancer.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers Biomedical and Health Sciences NIH-funded |
| Lab location | 1 site (Newark, UNITED STATES) |
| Project start | September 17, 2026 |
| Project end | August 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $1,373,620 |
| NIH project number | 1U01CA319217-01 |
| Project ID | NIH-11495828 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include adults at risk for lung cancer or with a recent diagnosis who are eligible for screening, treated for lung cancer, or transitioning to survivorship care.
✕Less likely to help
Patients not involved in screening, treatment, or follow-up pathways tailored by the study’s AI/biomarker tools may see no direct benefit.
What this research studies
This project aims to modernize how we prevent and fight lung cancer by using artificial intelligence, biomarkers, and new screening approaches to tailor care. It will look at how e-cigarettes and new nicotine products affect risk, and develop tools to guide when and how to screen and treat. The study will also address gaps in screening access and post-treatment survivorship, focusing on translating new evidence into practical policies and clinical strategies. Through collaboration with Rutgers, the work seeks to create data-driven models that help clinicians and patients make better decisions across the care continuum.
Why it matters
Potential benefit: If successful, the project could lead to earlier detection, better personalized treatment, and stronger follow-up care for lung cancer patients and at‑risk individuals.
How similar studies have gone: Previous efforts show promise for AI and biomarkers in cancer screening and early detection, but widespread implementation remains a challenge.
Where this research is happening
-
Rutgers Biomedical and Health Sciences
Newark, United States Active
Researchers
- Principal investigator: Tam, Jamie Pearl — Rutgers Biomedical and Health Sciences
- Study coordinator: Tam, Jamie Pearl
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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.