AI Modeling Technology To Accelerate Cancer Diagnoses

A hand holding a stylist and working on a computer. There is a purple overlay.

Northeastern researchers, including BioE Assistant Research Professor Saeed Amal, are partnering with Santovia Path AI and Prima CARE to develop AI modeling tools to speed up the cancer diagnosis process. This collaborative research effort will be based on AI technology created by Amal to assist in diagnosing various forms of breast and prostate cancers.


This article originally appeared on Northeastern Global News. It was published by Cesareo Contreras. Main photo: Northeastern researchers have partnered with a healthcare provider and digital pathology company to improve its AI cancer detection tools. Photo by Matthew Modoono/Northeastern University

Northeastern AI researchers partner with Santovia Path AI and Prima CARE to develop cancer detection tools

Before doctors can make a cancer diagnosis, they must perform a series of exams and lab tests to get a fuller picture. It may take weeks or months before there is a clear determination.

Saeed Amal, a Northeastern University bioengineering professor and a faculty member of the Roux Institute, has developed AI technologies to help medical professionals speed up that process. He has created online web tools to assist in diagnosing various forms of cancers, including breast cancer and prostate cancer.

Saeed Amal headshot with a blurred background

Northeastern assistant research professor of bioengineering Saeed Amal has developed cancer detection tools that take advantage of AI. Photo by Alyssa Stone/Northeastern University

gene tunik working in lab

Gene Tunik, director of AI + Health Sciences at the Institute for Experiential AI, says this partnership is emblematic of Northeastern’s use-inspired research. Photo by Matthew Modoono/Northeastern University

But this technology can only get better if it is used by medical professionals working in clinics and other healthcare centers, explains Gene Tunik, the director of AI + Health Sciences at Northeastern University’s Institute for Experiential AI.

That’s why partnerships like the one recently formed by Northeastern University in collaboration with Prima Care and Santovia Path AI will be key in helping improve these technologies in the long term and help better support clinicians, Amal and Tunik explain.

Read full story at Northeastern Global News

Related Faculty: Eugene Tunik, Saeed Amal

Related Departments:Bioengineering, Electrical & Computer Engineering