Using advanced technology to classify tiny particles from cancer cells for better diagnosis

Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics

NIH-funded research Northwestern University · NIH-11177264

This study is looking at how tiny particles released by cancer cells can help doctors find ovarian cancer earlier and more accurately, so patients can get the care they need sooner.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionNorthwestern University NIH-funded
Lab location1 site (Chicago, UNITED STATES)
Project IDNIH-11177264 on NIH RePORTER

What this research studies

This research focuses on ovarian cancer, which often goes undetected until advanced stages due to a lack of reliable monitoring methods. The project aims to utilize advanced techniques to analyze extracellular vesicles (EVs) released by cancer cells, which can serve as biomarkers for the disease. By employing machine learning algorithms and sensitive spectroscopy methods, the researchers will classify these EVs to improve diagnosis and monitoring of ovarian cancer. Patients may benefit from more accurate and earlier detection of their condition through this innovative approach.

Who could benefit from this research

Good fit: Ideal candidates for this research are women at risk for or diagnosed with ovarian cancer.

Not a fit: Patients with other types of cancer or those not at risk for ovarian cancer may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to earlier and more accurate detection of ovarian cancer, potentially improving patient outcomes.

How similar studies have performed: Other research has shown promise in using similar techniques for cancer detection, indicating potential for success in this novel approach.

Where this research is happening

Chicago, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cancer PatientCancer StagingCancers
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.