Using advanced machine learning to analyze diverse healthcare data
Multi-modal unsupervised embeddings to advance machine learning in healthcare
['FUNDING_R01'] · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · NIH-11019858
This study is looking at how to combine different types of health information, like medical records and test results, to help doctors make better decisions for patients, so you could get more accurate diagnoses and treatments.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11019858 on ClinicalTrials.gov |
What this research studies
This research focuses on integrating various types of biomedical data, such as electronic health records, molecular data, and imaging, to improve healthcare outcomes. By employing unsupervised machine learning techniques, the project aims to create low-dimensional representations of medical concepts and patient histories from large datasets. This approach seeks to eliminate biases and enhance the scalability and effectiveness of predictive models in healthcare. Patients may benefit from improved diagnostic and treatment strategies derived from these advanced data analyses.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals whose health data can be integrated from various sources, including electronic health records and biobanks.
Not a fit: Patients with limited or no access to electronic health records or those not represented in biobanks may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized healthcare solutions for patients.
How similar studies have performed: Other research has shown promise in using machine learning to analyze healthcare data, indicating that this approach could lead to significant advancements.
Where this research is happening
NEW YORK, UNITED STATES
- ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CAMPANELLA, GABRIELE — ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- Study coordinator: CAMPANELLA, GABRIELE
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.