IN I-Corps at
Buffalo

The University at Buffalo is one of the partner institutions that make up the National Science Foundation Innovation Corps Hub: Interior Northeast Region. IN I-Corps aims to expand the nation’s geography of innovation by creating a cohesive innovation ecosystem that delivers effective models of education and workforce training designed for and by innovators in rural regions and small cities. Learn more about the University at Buffalo.

Upcoming Events

Regional I-Corps Courses and Info Sessions are open to anyone, regardless of University affiliation or geographic location. Courses can be virtual or conference-based, and sometimes are intended for innovators in a specific field.

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News

Empath Medical’s Telemed Approach for Hepatitis C Treatment Shown >90% Effective, Secures $10M https://www.in-icorps.org/wp-content/uploads/2025/11/Empath-medical.png 2188 1454 I-Corps Hub: Interior Northeast I-Corps Hub: Interior Northeast https://www.in-icorps.org/wp-content/uploads/2025/11/Empath-medical.png November 19, 2025 November 19, 2025

Reese Abrahamson
November 19, 2025
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Empath Medical’s Telemed Approach for Hepatitis C Treatment Shown >90% Effective, Secures $10M

Dr. Andrew Talal, a University at Buffalo Professor of Medicine and leading liver disease expert, first participated in I-Corps in 2020 to evaluate the market fit of a facilitated telemedicine approach for hepatitis C (HCV) treatment in opioid treatment programs.

Oncology Researchers Attend ASCO Event Through I-Corps Regional Course

This June, an I-Corps cohort of oncology researchers – each working on a cutting-edge solution to improve care and outcomes for cancer patients – took to Chicago for the American Society for Clinical Oncology (ASCO) Annual Meeting to interview clinicians about their biggest problems.

Buffalo AI Startup Secures $1 Million STTR Phase II Grant

QAS.AI, an I-Corps alumni startup from Buffalo, is at the forefront of developing AI-powered software designed to detect complications during brain surgery—such as impaired blood flow—and predict the success of chosen treatments in real time.