Improving cancer data management and health equity using advanced technology
Official title: Data Science
Funded at Johns Hopkins University · NIH-11012037 · Data updated 2026-11-12
This study is working on making cancer data easier to find and use, so that everyone, especially those from different backgrounds, can get better treatments and care based on the latest information.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | September 20, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $202,444 |
| NIH project number | 1U54CA295336-01 |
| Project ID | NIH-11012037 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include cancer patients from various demographic backgrounds, particularly those affected by health disparities.
✕Less likely to help
Patients with non-cancerous conditions or those not affected by health disparities may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing cancer data management through the Data Science Shared Resource (DSSR) initiative, which aims to ensure that data is findable, accessible, interoperable, and reusable. The project will utilize advanced database technologies and artificial intelligence to optimize data access and develop analytical tools that support scientific rigor. By integrating health equity considerations into the data model, the DSSR seeks to address disparities in cancer care and improve outcomes for diverse populations. Patients may benefit from improved data-driven insights that can lead to better-targeted treatments and interventions.
Why it matters
Potential benefit: If successful, this research could lead to more equitable cancer care and improved treatment outcomes for patients from diverse backgrounds.
How similar studies have gone: Other research has shown success in utilizing data science and AI to improve health outcomes, indicating that this approach has potential for significant impact.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Mcnutt, Todd R — Johns Hopkins University
- Study coordinator: Mcnutt, Todd R
Related research
Other NIH-funded projects on the same topics.
-
Targeting hidden brain injuries in iTTP to improve long-term brain health
A researcher aims to find out how silent brain injuries in people with immune thrombotic thrombocytopenic purpura (iTTP) happen, how they affect thinking and stroke risk, and how to prevent them.
-
Accelerated flap coverage for severe leg injuries: earlier reconstruction vs standard timing
This study tests whether doing early flap coverage after a severe leg injury lowers infection risk and improves healing for patients with open wounds and bone injury.
-
Placebo-controlled shunting for iNPH: does the surgery help with walking and balance?
A doctor-led trial at Johns Hopkins will test whether a shunt surgery improves walking and balance in older adults with idiopathic normal pressure hydrocephalus.
-
Omalizumab for COPD patients with allergen sensitization and exposure
A multicenter trial will test whether adding omalizumab helps people with COPD who are allergic to common indoor allergens and are exposed to them.
-
Johns Hopkins Total Worker Health Center focusing on mental health
A nationwide center at Johns Hopkins is working to improve mental health and well-being among workers by studying workplace health strategies and translating findings into practical tools.
-
Role of fat droplets in liver fat and inflammatory signals in NAFLD
A study at Johns Hopkins will explore how fat droplets in the liver influence molecules that drive inflammation and progression of non-alcoholic fatty liver disease (NAFLD) in adults.
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.