Cloud-based software for analyzing cancer data
Official title: TOPIC NUMBER: 464 SBIR PHASE ICLOUD-BASED MULTIMODAL DATA ANALYSIS SOFTWARE FOR THE CANCER RESEARCH DATA COMMONS
Funded at Polygon Health Analytics LLC · NIH-11192437 · Data updated 2026-11-12
This study is creating an easy-to-use online tool that helps doctors understand and treat squamous cell carcinoma better by analyzing important cancer information from different sources, like pathology reports and imaging, to improve patient care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Polygon Health Analytics LLC NIH-funded |
| Lab location | 1 site (Chalfont, United States) |
| Project start | September 12, 2024 |
| Project end | September 11, 2025 |
| Funding year | 2024 |
| Award (this year) | $399,985 |
| NIH project number | 75N91024C00070-0-9999-1 |
| Project ID | NIH-11192437 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with squamous cell carcinoma or other related cancers who may benefit from improved diagnostic and treatment methodologies.
✕Less likely to help
Patients with cancers that are not squamous cell carcinoma or those who do not have access to the cloud-based platform may not receive any benefit from this research.
What this research studies
This research focuses on developing a cloud-based platform that utilizes advanced Natural Language Processing (NLP) to analyze clinical data related to cancer. It aims to extract critical information from pathology reports and integrate various types of cancer data, including genomics and imaging, to enhance understanding and treatment of squamous cell carcinoma. By creating a user-friendly tool, the project seeks to bridge the gap between cancer research and clinical practice, ultimately improving patient outcomes through better diagnosis and treatment strategies.
Why it matters
Potential benefit: If successful, this research could provide a powerful tool for clinicians to make more informed decisions regarding cancer diagnosis and treatment.
How similar studies have gone: Other research has shown success in utilizing NLP and data integration techniques for cancer data analysis, indicating that this approach has potential for significant advancements.
Where this research is happening
-
Polygon Health Analytics LLC
Chalfont, United States Active
Researchers
- Principal investigator: Yao, Lixia — Polygon Health Analytics LLC
- Study coordinator: Yao, Lixia
Related research
Other NIH-funded projects on the same topics.
-
Improving health outcomes for lupus patients by addressing social factors
This study is looking at how social factors affect the health of people with lupus, especially among different racial and ethnic groups, and aims to create a helpful tool that combines social support with medical care to improve health outcomes for patients.
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.