Using machine learning to help doctors make better decisions for advanced cancer patients
Official title: Human-Machine Collaborations to Improve Prognosis and Clinical Decision-Making in Advanced Cancer
Funded at Emory University · NIH-11239355 · Data updated 2026-11-12
This study is working on a new way to help doctors better predict how long patients with advanced cancer might live, using smart computer tools alongside their medical expertise, so that patients can get the right care and support when they need it most.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | July 5, 2021 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $193,023 |
| NIH project number | 7K08CA263541-05 |
| Project ID | NIH-11239355 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with advanced cancer who may benefit from improved prognostic assessments and advance care planning.
✕Less likely to help
Patients with early-stage cancer or those who are not receiving active treatment may not receive benefit from this research.
What this research studies
This research focuses on improving the accuracy of prognosis for patients with advanced cancer by integrating machine learning algorithms with clinician expertise. The goal is to develop systems that help doctors better identify patients at risk of short-term mortality, which can lead to earlier and more effective advance care planning and palliative care. By leveraging electronic health records and advanced predictive models, the research aims to enhance clinical decision-making in oncology. Patients will benefit from a more accurate understanding of their prognosis, allowing for timely interventions and support.
Why it matters
Potential benefit: If successful, this research could lead to improved quality of life and care for patients with advanced cancer through better prognostic accuracy and timely palliative interventions.
How similar studies have gone: Previous research has shown promise in using machine learning for prognostic assessments in oncology, indicating that this approach could be effective.
Where this research is happening
-
Emory University
Atlanta, United States Active
Researchers
- Principal investigator: Parikh, Ravi Bharat — Emory University
- Study coordinator: Parikh, Ravi Bharat
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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.