Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy. The model harnesses whole-slide tumor imaging data and gene expression analyses in a way that outperforms previous models using a single data type.
AI meets oncology: New model personalizes bladder cancer treatment
-
HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
-
AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
-
Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
