Using artificial intelligence to improve the safety of cancer immunotherapy
Official title: Improving safety and access to immune effector cell therapy with artificial intelligence technology
Funded at University of Minnesota · NIH-11018541 · Data updated 2026-11-12
This study is looking at how we can better spot early signs of cognitive issues caused by cancer immunotherapy by using a friendly AI tool that listens to your speech during phone conversations, helping us catch problems sooner and keep you healthier.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Minnesota NIH-funded |
| Lab location | 1 site (Minneapolis, United States) |
| Project start | February 1, 2024 |
| Project end | January 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $207,895 |
| NIH project number | 5R21CA286980-02 |
| Project ID | NIH-11018541 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing immunotherapy for cancer who may be at risk for developing ICANS.
✕Less likely to help
Patients not receiving immunotherapy or those without a diagnosis of cancer may not benefit from this research.
What this research studies
This research focuses on enhancing the detection of immune effector cell-associated neurotoxicity syndrome (ICANS), a serious side effect of cancer immunotherapy. By utilizing an AI-based system called SALSA, the study aims to analyze patients' speech patterns to identify early signs of cognitive impairment associated with ICANS. This approach allows for more timely intervention, potentially preventing severe complications. Patients will engage in conversations over the phone, which will be analyzed for markers of cognitive decline.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and treatment of ICANS, improving patient outcomes and safety during cancer immunotherapy.
How similar studies have gone: Previous research has shown promise in using AI for monitoring cognitive functions, suggesting that this approach could be effective.
Where this research is happening
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University of Minnesota
Minneapolis, United States Active
Researchers
- Principal investigator: Bachanova, Veronika S — University of Minnesota
- Study coordinator: Bachanova, Veronika S
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.