Identifying abnormal cells in blood samples or biopsies can be like finding a needle in a haystack – and most tools take a one-size-fits-all approach. Nuclei.io, an AI-based digital pathology framework developed by James Zou, PhD, and Thomas Montine, MD, PhD, is designed to improve workflow and diagnosis in cancer and other diseases.

Instead of trying to replace pathologists, it learns from them, adapting to individual workflows and offering personalized assistance in spotting cells linked to disease. The tool also allows pathologists to share their models with colleagues – almost like a social network –making it easier to compare results, collaborate, and build on one another’s expertise. And at its core, it uses a human-in-the-loop process: pathologists remain the decision-makers, but AI guides them to make diagnoses more efficiently and with greater accuracy.