NIH-funded research NIH-funded research

Creating software solutions to improve diagnosis for patients with undiagnosed conditions

Official title: Data Management Core

Funded at Harvard Medical School · NIH-11056819 · Data updated 2026-11-12

This study is working on a new software platform to help doctors better diagnose patients who have conditions that are hard to identify, making it easier for everyone involved to share information and work together for better health outcomes.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionHarvard Medical School
NIH-funded
Lab location1 site (Boston, United States)
Project startApril 19, 2023
Project endMarch 31, 2028
Funding year2025
Award (this year)$1,229,018
NIH project number5U2CNS132415-03
Project IDNIH-11056819 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are patients who have undiagnosed medical conditions and are seeking better diagnostic solutions.

Less likely to help

Patients with well-defined and diagnosed conditions may not receive direct benefits from this research.

What this research studies

This research focuses on developing innovative software solutions to enhance the diagnosis process for patients with undiagnosed conditions. It aims to create a centralized platform that streamlines patient enrollment, data collection, and analysis, thereby improving communication between patients, clinicians, and researchers. The project will implement automation and AI-based tools to facilitate efficient data management and enhance collaboration within the diagnostic network. By integrating various data types and tools, the research seeks to improve the overall diagnostic experience and outcomes for patients.

Why it matters

Potential benefit: If successful, this research could significantly improve the speed and accuracy of diagnoses for patients with previously undiagnosed conditions.

How similar studies have gone: Other research initiatives have shown success in utilizing centralized data management and AI tools to improve diagnostic processes, indicating a promising approach.

Where this research is happening

  • Harvard Medical School
    Boston, United States
    Active

Researchers

  • Principal investigator: Marth, Gabor T — Harvard Medical School
  • Study coordinator: Marth, Gabor T

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.