A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant risk for patients with myelofibrosis, according to new research published in Blood.
Open-access machine learning model enhances transplant risk assessment in myelofibrosis patients
-
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
