Researchers have developed an AI system to interpret the Kirby-Bauer disk diffusion test, which helps identify which antibiotics are effective against bacterial infections. While still requiring refinement, the AI system shows promise in supporting doctors by speeding up the identification of resistance to life-saving antibiotics.

In a new study, researchers made use of artificial intelligence (AI) and found out that fish habitats are negatively affected by human activities. Based on this study, various measures to protect biodiversity and potential fish habitats will be developed.

The Northwestern University Feinberg School of Medicine has launched a new Center for Bedside Medicine which aims to revitalize patient interactions by combining traditional elements of the bedside interaction with cutting-edge technology, such as artificial intelligence and point-of-care devices like digital stethoscopes and handheld ultrasound machines.

Researchers at the University of Jyväskylä have harnessed machine learning and molecular dynamics to advance our understanding of the interactions between metal nanoparticles and blood proteins. This development paves the way for targeted nanomedicine applications, from cancer therapy to advanced diagnostics.

Cold Spring Harbor Laboratory's new AI tool, “Creme”, offers scientists a revolutionary way to explore the genome, enabling virtual gene-editing experiments at unprecedented scale. By simulating CRISPRi’s gene-modifying abilities, Creme allows researchers to predict and understand gene activity from countless mutations.

Stanford engineers are tackling the challenge of plant-based meat development with a fresh perspective: mechanical texture testing combined with machine learning. Their innovative method mimics human taste testers and could accelerate the creation of convincing meat alternatives, paving the way for more sustainable diets without sacrificing texture or taste.

A new study calls into question the feasibility of assessment of the risk for sudden cardiac death as basis for a personalized decision on preventive defibrillator implantation.

Lancashire Fire and Rescue, Windracers as well as university researchers have joined hands to develop an AI-powered drone that can autonomously detect and suppress fire before they turn into uncontrollable wildfires.

Researchers have developed devices for rapid detection of cardiorespiratory diseases and stroke under the Poc4triage project which is being led by the University of Turku. The project has secured a funding of 9.4 million euros by the EU's Horizon Europe programme.

A research has revealed that the use of artificial intelligence to help clinical decision making in identifying and managing a heart attack in patients brought in to the emergency department with suspected cardiac conditions does not improve cardiovascular outcomes. The study further highlighted that the AI-based clinical decision support is safe and increases the adoption of evidence-based care.