Personalized Predictions for Health and Treatment
A pathophysiology driven spatial dynamic modeling framework for personalized prediction and precision medicine
['FUNDING_OTHER'] · PENNSYLVANIA STATE UNIVERSITY, THE · NIH-11126065
This research creates a new computer tool to use your unique health information, like genetic and imaging data, to help doctors find the best treatments for you at the right time.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | PENNSYLVANIA STATE UNIVERSITY, THE (nih funded) |
| Locations | 1 site (UNIVERSITY PARK, UNITED STATES) |
| Trial ID | NIH-11126065 on ClinicalTrials.gov |
What this research studies
This project aims to build an advanced computer platform that brings together many types of your health information, including genetic details, medical images, and other clinical data. By combining this personal data with what we already know about how diseases work, the platform will create detailed models of your health. These models are designed to help predict how diseases might progress and suggest the most effective, personalized treatments. The goal is to make healthcare more precise, ensuring you receive care tailored specifically to you.
Who could benefit from this research
Good fit: Patients with conditions such as Alzheimer's disease or cardiovascular diseases, whose clinical data could contribute to or benefit from personalized predictive modeling, are the focus of this research.
Not a fit: Patients whose conditions do not involve complex physiological data or who are not seeking highly personalized predictive insights may not directly benefit from this specific modeling approach.
Why it matters
Potential benefit: If successful, this work could lead to more accurate predictions about disease progression and more effective, personalized treatment plans for conditions like Alzheimer's disease and cardiovascular diseases.
How similar studies have performed: This approach is novel in its specific combination of pathophysiology and imaging data within a spatial dynamic modeling framework, addressing a current gap in existing techniques.
Where this research is happening
UNIVERSITY PARK, UNITED STATES
- PENNSYLVANIA STATE UNIVERSITY, THE — UNIVERSITY PARK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: HAO, WENRUI — PENNSYLVANIA STATE UNIVERSITY, THE
- Study coordinator: HAO, WENRUI
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.
Conditions: Alzheimer disease dementia, Alzheimer syndrome, Alzheimer's Disease, Cardiovascular Diseases