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NEW YORK — By combining optical imaging with artificial intelligence, a research team led by scientists from the University of Michigan has developed a model that can classify surgical samples of common brain tumors in real time as accurately as a pathologist.

The approach, the investigators write in a report appearing in Nature Medicine on Monday , could also be extended to other cancers where intraoperative histology is an important part of clinical care.

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Oct
27
Sponsored by
LGC SeraCare Life Sciences

This webinar features a panel of industry stakeholders in cancer diagnostics, proficiency testing and clinical care who will discuss the promise and challenges of liquid biopsy technologies in disease diagnosis, monitoring, and patient care management.