Using machine learning to improve bladder cancer screening.
Semi-automated bladder cancer screening using machine learning: clinical validation and implementation.
['FUNDING_CAREER'] · DARTMOUTH-HITCHCOCK CLINIC · NIH-10908309
This study is working on a new way to check for bladder cancer by using smart computer technology to look at urine samples, making it easier and more accurate for doctors to spot the disease early in people who might be at risk.
Quick facts
| Phase | ['FUNDING_CAREER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | DARTMOUTH-HITCHCOCK CLINIC (nih funded) |
| Locations | 1 site (LEBANON, UNITED STATES) |
| Trial ID | NIH-10908309 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the screening process for bladder cancer by developing a semi-automated system that utilizes machine learning to analyze urine samples. Currently, urine samples are examined by cytopathologists, which can be subjective and prone to errors. The project seeks to create a more objective and reliable method for detecting bladder cancer by leveraging advanced algorithms that can classify cellular features in urine samples. This approach could lead to earlier and more accurate diagnoses for patients at risk of bladder cancer.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with risk factors for bladder cancer, such as those with a history of smoking or exposure to certain chemicals, as well as those experiencing hematuria.
Not a fit: Patients who do not have risk factors for bladder cancer or those who are not experiencing symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and efficient bladder cancer screenings, potentially improving early detection and patient outcomes.
How similar studies have performed: Other research has successfully utilized machine learning for similar applications in pathology, indicating a promising potential for this approach in bladder cancer screening.
Where this research is happening
LEBANON, UNITED STATES
- DARTMOUTH-HITCHCOCK CLINIC — LEBANON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: VAICKUS, LOUIS JOSEPH — DARTMOUTH-HITCHCOCK CLINIC
- Study coordinator: VAICKUS, LOUIS JOSEPH
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.
Conditions: Bladder Cancer, Cancers