Using genomic and clinical data to predict disease outcomes

Integrating genomic and clinical data to predict disease phenotypes using heterogeneous ensembles

NIH-funded research Icahn School of Medicine at Mount Sinai · NIH-10817904

This study is looking to improve how doctors can tailor treatments for patients by combining genetic information with medical records, helping to predict how diseases will progress for each individual, and if you join, you could help create better tools for your care.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionIcahn School of Medicine at Mount Sinai NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-10817904 on NIH RePORTER

What this research studies

This research aims to enhance personalized medicine by integrating genomic profiles with clinical data to better predict disease outcomes for individual patients. By combining structured omic data with unstructured clinical information, such as physician notes, the study seeks to develop advanced computational methods that can accurately classify disease phenotypes. This approach addresses the limitations of existing data integration methods and aims to provide clinicians with more precise tools for designing patient care plans. Patients participating in this research may contribute to the development of these innovative predictive models.

Who could benefit from this research

Good fit: Ideal candidates for this research include patients with conditions like asthma, cancer, or inflammatory bowel disorders who have extensive clinical data available.

Not a fit: Patients with rare diseases or those whose clinical data is not well-documented may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate predictions of disease outcomes, allowing for tailored treatment plans that improve patient care.

How similar studies have performed: Previous research has shown promise in integrating genomic and clinical data for disease prediction, indicating that this approach could yield significant advancements.

Where this research is happening

New York, 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 Cancersneoplasm/cancer
Last reviewed 2026-06-15 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.