Using deep learning to predict how different treatments affect individual patients
Deep Learning for Individualized Treatment Effect Inference with Multimodal Depiction
['FUNDING_R21'] · YALE UNIVERSITY · NIH-11094158
This study is looking at how different treatments can help people with glioblastoma live longer by using smart computer technology to analyze patient information, so doctors can give personalized treatment advice that fits each person's needs.
Quick facts
| Phase | ['FUNDING_R21'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | YALE UNIVERSITY (nih funded) |
| Locations | 1 site (NEW HAVEN, UNITED STATES) |
| Trial ID | NIH-11094158 on ClinicalTrials.gov |
What this research studies
This research focuses on predicting how different treatments can impact the survival time of patients, particularly those with glioblastoma. By utilizing advanced deep learning algorithms, the study aims to analyze a wide range of patient data, including imaging and clinical information, to provide personalized treatment recommendations. The goal is to move beyond traditional methods by accurately estimating individualized treatment effects, which can help doctors make better treatment decisions tailored to each patient's unique situation.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with glioblastoma who are considering different treatment options.
Not a fit: Patients with conditions other than glioblastoma or those who are not undergoing treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment plans for patients, potentially improving survival outcomes.
How similar studies have performed: Other research has shown promise in using deep learning for treatment prediction, but this approach aims to address specific limitations in current methodologies, making it a novel effort.
Where this research is happening
NEW HAVEN, UNITED STATES
- YALE UNIVERSITY — NEW HAVEN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LIU, XIAOFENG — YALE UNIVERSITY
- Study coordinator: LIU, XIAOFENG
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.