Using advanced technology to improve diagnosis of tick-borne diseases
SCH: Machine LEarning & MicrofluiDics for Multimodal Sensing of TiCk-bOrne Diseases(MEDICO)
This study is working on a new, easy-to-use test that can quickly and accurately detect tick-borne diseases like Lyme disease from a small blood sample, helping people get diagnosed earlier and more reliably.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | West Virginia University NIH-funded |
| Lab location | 1 site (Morgantown, United States) |
| Project ID | NIH-10910919 on NIH RePORTER |
What this research studies
This research focuses on developing a new diagnostic platform for tick-borne diseases such as Lyme disease, anaplasmosis, and babesiosis. By utilizing a microfluidic system combined with machine learning algorithms, the project aims to detect these diseases from whole blood samples with high sensitivity and minimal user intervention. The approach includes designing specialized sensors and circuits to accurately measure complex cell data, which could lead to earlier and more accurate diagnoses. This innovative method addresses the limitations of current diagnostic techniques that often fail to detect these infections in their early stages.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have been exposed to ticks and are experiencing symptoms related to tick-borne diseases.
Not a fit: Patients who have already been diagnosed and treated for tick-borne diseases may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate diagnoses of tick-borne diseases, improving patient outcomes and treatment options.
How similar studies have performed: Other research has shown promise in using microfluidic technology and machine learning for disease diagnosis, indicating that this approach could be effective.
Where this research is happening
Morgantown, United States
- West Virginia University — Morgantown, United States (Active)
Researchers
- Principal investigator: Srivastava, Soumya K — West Virginia University
- Study coordinator: Srivastava, Soumya K
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.