Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Alternative allele frequency recallibration after NGS data analysis. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not include a full text component.

BOSTON & LAUSANNE, Switzerland--(BUSINESS WIRE)--SOPHiA GENETICS SA (Nasdaq: SOPH), the creator of a leading cloud-native global data-sharing network and health analytics platform, is partnering with ...

Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed. A way of using machine learning to more accurately identify ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...