What if cancer screening no longer had to look for one cancer at a time? Cancer screening has long followed a one-organ-at-a-time model: mammography for breast cancer, colonoscopy for colorectal cancer, low-dose CT for lung cancer, and cervical testing for cervical cancer. These programs save lives, but they also leave gaps. Many cancers still lack
Summary: Researchers demonstrated that natural language processing (NLP) models analyzing speech patterns in children aged 9 to 13 can predict the onset of mental health disorders six years later more accurately than panels of human clinical experts. The study evaluated audio-recorded clinical interviews from over 200 children discussing stressful life events. Across four distinct NLP
Hi-Tech Healthcare From data management to defensive medicine: the implications of artificial intelligence for patient relations and the use of technology Artificial intelligence (AI) is revolutionising the healthcare sector, driving innovation and transforming the way medical services are delivered. However, the introduction of AI-based systems also raises important issues, particularly regarding medical liability in the
ann26016 — Announcement 31 July 2026 An artificial intelligence system has, for the first time, successfully planned and managed observations on a national facility, demonstrating a new way to make the most of scarce observing time. Trained on 13 years of historical data, the system generated an observing schedule for the NSF Víctor M. Blanco
Pyra AI suggests AI agents can help companies increase productivity The ongoing debate over whether artificial intelligence will eliminate jobs may be focused on the wrong question. New research by industry analysts suggests that companies making the greatest use of AI are not shrinking their workforces. They are increasing productivity while also growing headcount and