Statisticians from the National University of Singapore (NUS) have developed a pioneering approach for analyzing population-scale metabolomic data, marking a major advancement in the precision and depth of metabolic profiling. This new method promises to improve both personalized health care and preventive medicine by improving the accuracy and interpretability of metabolic analyses.
Scientists create framework for analyzing metabolic data to predict disease risk
-
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
