Using advanced machine learning to connect cancer data with patient outcomes
A deep-transfer-learning framework to transfer clinical information to single cells and spatial locations in cancer tissues
This study is exploring how advanced computer techniques can help us understand cancer better by looking closely at individual cells in tumors, which could lead to more personalized treatments and improve patient outcomes.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project ID | NIH-10657426 on NIH RePORTER |
What this research studies
This research investigates how advanced machine learning techniques, specifically deep transfer learning, can be applied to high-resolution cancer data to better understand patient outcomes. By analyzing single cell and spatial transcriptomics data, the study aims to link clinical outcomes such as survival and drug response to specific cellular features in cancer tissues. Patients' clinical information will be transferred to individual cells and spatial locations within tumors, potentially identifying new targets for treatment. This innovative approach could lead to more personalized cancer therapies based on detailed molecular insights.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with aggressive forms of breast cancer or non-small cell lung cancer who are seeking advanced treatment options.
Not a fit: Patients with early-stage or less aggressive cancers may not receive significant benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment strategies for patients with aggressive cancers.
How similar studies have performed: Other research has shown promise in using machine learning techniques to analyze cancer data, suggesting that this approach could yield valuable insights.
Where this research is happening
Indianapolis, United States
- Indiana University Indianapolis — Indianapolis, United States (Active)
Researchers
- Principal investigator: Johnson, Travis Steele — Indiana University Indianapolis
- Study coordinator: Johnson, Travis Steele
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.