TrialTranslator, an AI platform developed by Winship Cancer Institute and Abramson Cancer Center, enhances personalized cancer care by predicting optimal candidates for clinical trials. Utilizing real-world data and machine learning, the platform aligns patient subgroups with precise clinical trial designs, improving outcomes and advancing personalized medicine.

Researchers from the University of Surrey, in collaboration with Graz University of Technology, have made significant progress in understanding the growth of Hexagonal Boron Nitride (hBN). This development could spur innovations in electronics, clean energy, and manufacturing by leveraging hBN's unique properties for pollutant filtering and catalysis.

This article provides an in-depth view of the smart glasses presented at CES 2025, focusing on three main categories: stylish basics, feature-heavy face screens, and well-balanced spyglasses. It explores the innovations and challenges facing this burgeoning sector as it moves towards widespread adoption.

An innovative AI algorithm developed by Mount Sinai Hospital enhances REM sleep behavior disorder diagnosis, offering improved accuracy and paving the way for advanced patient care. By leveraging computer vision, this technology promises earlier and more precise interventions for sleep disorders, potentially revolutionizing clinical practices.

DeepMerkel, an AI-driven tool developed by researchers at Newcastle University, enhances the treatment of aggressive skin cancers like Merkel cell carcinoma by providing personalized predictions of treatment outcomes. This article explores how AI technologies are revolutionizing cancer care and the future potential of such innovations.

The James Webb Space Telescope (JWST) has achieved a milestone by capturing images of over 40 individual stars in a galaxy billions of light-years away. This incredible feat, made possible by gravitational lensing, allows astronomers to explore the universe at a time when it was half its current age. The discovery unveils new methods to study distant stars and dark matter, paving the way for future astronomical research.

Researchers are using AI to identify new compounds that can reduce methane emissions from cattle, a significant source of greenhouse gas. This innovative approach leverages advanced machine learning models, like graph neural networks, to expedite the discovery of effective and non-toxic solutions for sustainable agriculture.

This article delves into the recent wave of high-level cyberattacks targeting Ivanti VPNs, exploiting a critical zero-day vulnerability (CVE-2025-0283). It discusses the deployment of advanced malware like DRYHOOK and PHASEJAM, tactics used by attackers to evade detection, and offers key recommendations for strengthening organizational defenses.

Elon Musk's recent statement that AI companies have exhausted available human data for training highlights a pivotal shift towards using synthetic data. While synthetic data offers new possibilities for AI development, it also presents challenges such as "hallucinations" and ethical concerns regarding data use. This article explores the transition and its implications for the future of AI.

Scientists have developed revolutionary wearable devices offering diverse haptic sensations, surpassing the basic vibrations of current technology. These cutaneous electrohydraulic (CUTE) wearables can simulate complex tactile experiences, using innovative hydraulically amplified self-healing electrostatic (HASEL) muscles, promising a transformative impact on augmented reality and assistive technologies.