Understanding why patients respond differently to treatments using advanced data analysis.
Official title: Uncovering Heterogeneity in Individual Treatment Responses via Causal Machine Learning
Funded at Pennsylvania State Univ Hershey Med Ctr · NIH-10940030 · Data updated 2026-11-12
This study is looking into why people with heart disease respond differently to the same treatments, so we can find better, personalized ways to help each patient feel better.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Pennsylvania State Univ Hershey Med Ctr NIH-funded |
| Lab location | 1 site (Hershey, United States) |
| Project start | September 5, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $417,000 |
| NIH project number | 1R35GM154888-01 |
| Project ID | NIH-10940030 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with coronary artery disease who are seeking more effective treatment options.
✕Less likely to help
Patients with conditions unrelated to coronary artery disease may not receive any benefit from this research.
What this research studies
This research investigates the reasons behind varying responses to medical treatments among individuals, particularly in the context of coronary artery diseases. By utilizing advanced machine learning techniques and large-scale biological data, the project aims to identify specific factors that influence how different patients react to the same treatment. The goal is to enhance the understanding of treatment-disease interactions and ultimately improve patient outcomes through personalized medicine. Patients may benefit from more tailored treatment strategies based on their unique characteristics.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment plans that improve health outcomes for patients with coronary artery diseases.
How similar studies have gone: Previous research has shown promise in using machine learning to analyze treatment responses, indicating that this approach could yield significant insights.
Where this research is happening
-
Pennsylvania State Univ Hershey Med Ctr
Hershey, United States Active
Researchers
- Principal investigator: Chiu, Yu-Han — Pennsylvania State Univ Hershey Med Ctr
- Study coordinator: Chiu, Yu-Han
Related research
Other NIH-funded projects on the same topics.
-
Cognitive behavioral therapy and trazodone for insomnia phenotypes with high blood pressure
A clinical study tests how CBT-I and the sleep drug trazodone work for adults with insomnia and high blood pressure, focusing on a specific sleep duration pattern.
-
Understanding the STIM/Orai Calcium Signaling Pathway in Cancer
Researchers are studying how STIM and Orai proteins control calcium signals inside cells and how this affects cancer-related growth and remodeling, with hopes to find ways to influence these signals for better treatments.
-
Understanding how some Amish communities maintain high birth rates in modern times
A project will build a large, time-sensitive dataset to understand why Amish families keep having many children, even as broader society has much lower birth rates.
-
Scoliosis and neurosurgical factors in myelomeningocele: a clinic registry study
This project uses registry data from Penn State’s Spina Bifida Clinic to understand how brain and spine-related issues influence when and why scoliosis surgery is needed in people with myelomeningocele.
-
Understanding how damaged stomach cells revert to a repair state to prevent cancer
Researchers are studying how certain stomach cells re-enter the cell cycle to aid tissue repair, and how this process might lead to metaplasia or cancer if it goes wrong.
-
Aging, cell aging, and how MCPyV causes Merkel cell carcinoma
Aging and aging-related changes in skin cells may help a common virus (MCPyV) persist and potentially lead to a rare skin cancer in people with weaker immune systems.
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.