Swedish study of 100,000 women found higher rate of early detection, suggesting potential to support radiologists The use of artificial intelligence in breast cancer screening reduces the rate of a ...

Researchers in China have unveiled a new AI framework that could accelerate the discovery of new medicines. DrugCLIP can scan millions of potential drug compounds against thousands of protein targets ...

The use of virtual reality (VR) during skin prick testing (SPT) significantly reduced procedural anxiety, fear, and pain in children while achieving 100% compliance compared with standard care.

This article and associated images are based on a poster originally authored by Lin Chen, Vincent Blay, Pedro J. Ballester and Douglas R. Houston and presented at ELRIG Drug Discovery 2025 in ...

It's no secret that the automotive industry's priorities are a moving target, influenced by major players as well as rapidly changing customer preferences. Emerging submarkets like software-defined ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

Schematic overview of the CVRT system, illustrating its three core modules: the Simulation Environment Module for generating high-fidelity virtual scenarios and traffic flows; the Data Process Module ...

Relying on AI-generated personalities can be a low-risk, high-engagement strategy. by Serim Hwang, Shunyuan Zhang, Xiao Liu and Kannan Srinivasan When the meal-kit delivery company HelloFresh wanted ...

The use of simulations is nothing new in the car industry. Automakers regularly use them to speed up testing and add extra trials that they can’t afford (in time and/or money) to carry out with real ...

ABERDEEN PROVING GROUND, MD – In October 2023, the U.S. Army Test and Evaluation Command (ATEC) demonstrated a Multi-Domain Operations Distributed Live, Virtual, Constructive (LVC) Initial Operational ...

1. Scoring functions: Scoring functions, mathematical algorithms predicting ligand-protein binding affinity, remain imperfect with limitations in accuracy and high false positive rates. 2. Structural ...