Binghamton University researchers earned SUNY funds to develop AI-powered cancer diagnostics using standard pathology imaging.
Key Details
- 1Binghamton researchers Nancy Guo and John Fetse received SUNY Technology Accelerator Fund grants.
- 2Guo's ClinSegAI project applies AI to identify biomarkers in standard pathology imaging, aiming to speed cancer treatment decisions.
- 3Their model intends to integrate molecular biology data to identify early tumor progression—potentially ahead of conventional radiology findings.
- 4The overall SUNY TAF program awarded $400,000 across five universities for technology commercialization research.
Why It Matters
AI-based analysis of pathology and radiology images could significantly improve early cancer detection and streamline treatment decision-making. This state funding supports translation of academic research toward clinical and commercial impact in cancer diagnostics.
Source
EurekAlert
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