Mark Shieldsmann
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- Milken Institute1h 1m
AI and Machine Learning in Cancer Medicine
Marc Hurlbert, Maurice Ferré, Colin Hill, Mike Nohaile, Susan Swetter, Amanda Hall, Mark Shieldsmann, Lisa Desjardins
The Melanoma Research Alliance, which has directed over $250 million toward global melanoma initiatives, convened experts to address rising mortality rates and the critical need for advanced early detection technologies. Panelists from Stanford, GNS Healthcare, and Amgen demonstrated how deep learning algorithms now match human dermatologists in image classification while causal modeling predicts treatment responses to accelerate precision medicine. Despite current limitations regarding data quality, algorithmic bias, and regulatory hurdles, these advancements aim to bridge rural care gaps and eventually substitute traditional clinical trials with robust in-silico simulations.