Machine learning enhanced nanoplasmonic biosensing for immune profiling
Official title: Machine Learning-Assisted Integrated Optofluidic Nanoplasmonic Biosensing for Precision Immune Profiling and Monitoring
Funded at Auburn University at Auburn · NIH-11401800 · Data updated 2026-11-12
Auburn University researchers are developing a fast, point-of-care test that uses machine learning and advanced biosensors to map a patient’s immune signals, helping diagnose and monitor immune-related illnesses like autoimmune diseases and cancer.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Auburn University at Auburn NIH-funded |
| Lab location | 1 site (Auburn, UNITED STATES) |
| Project start | September 1, 2019 |
| Project end | August 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $382,408 |
| NIH project number | 5R35GM133795-08 |
| Project ID | NIH-11401800 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with autoimmune diseases or cancer who need immune monitoring or diagnostic support.
✕Less likely to help
Patients without autoimmune diseases or cancer may not directly benefit from this immune-focused test.
What this research studies
This project combines cutting-edge biosensing with AI to measure multiple immune signals from blood at the point of care. By integrating optofluidic nanoplasmonic sensors and machine learning, it aims to give rapid, precise snapshots of a patient’s immune status. The study builds on previous work to improve sensitivity, speed, and reliability of cytokine measurements to guide treatment decisions.
Why it matters
Potential benefit: If successful, patients could receive quicker and more accurate immune profiling to tailor therapies and monitor disease activity.
How similar studies have gone: Previous work demonstrated high-throughput cytokine detection and improved sensing; this project adds ML-driven optimization for precision profiling.
Where this research is happening
-
Auburn University at Auburn
Auburn, United States Active
Researchers
- Principal investigator: Chen, Pengyu — Auburn University at Auburn
- Study coordinator: Chen, Pengyu
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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.