Subject to change.
Subject to change.
Dr. Saad Nadeem is an Associate Attending Computer Scientist in the Service for Predictive Informatics at Memorial Sloan Kettering Cancer Center (MSK). His lab (https://nadeemlab.org) has developed and clinically deployed two state-of-the-art AI models across pathology (https://deepliif.org) and surgery (https://opwise.org). DeepLIIF (https://deepliif.org) is MSK-patented yet fully opensource (data/code/models publicly available) virtual staining AI algorithm for universal immunohistochemistry quantification, integrated in clinical workflow with anticipated case load of >100,000 whole-slide images processed per year at MSK. Opwise (https://opwise.org) is an AI model deployed at MSK (multi-surgeon randomized clinical trial ongoing) for improving communication among operating room staff with the ultimate goal of reducing operative time/costs and improving patient outcomes associated with complex procedures such as robotic assisted radical cystectomy and robotic whipple surgery.
Pathology has entered a bold new frontier: the PathoVerse. In this emerging universe, pathologists and institutions are using new technologies and methods that are redefining the delivery of precision medicine, with pathology at its core.
Yet every new universe presents challenges. The PathoVerse demands new skills, new approaches, and adaptability. Navigating it successfully requires more than technology – it requires a trusted guide.
In this session, with insight from PathPresenter partners across storage, compute, scanners, and AI, we’ll chart the course for thriving in the PathoVerse, from identifying and capturing ROI to unlocking AI’s full potential.
Join us to discover how to make the journey through the PathoVerse a successful one.