FDA approves early warning system for sepsis
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This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 15:16 ET (3-Nov-2026 20:16 GMT/UTC)
An early warning system for sepsis, one of the deadliest infections for hospital patients, has been approved for use by the FDA, one of the first AI-based medical tools to get clearance.
The tool, developed by Johns Hopkins University researchers and now commercialized by Bayesian Health, detects sepsis hours faster than doctors and has reduced deaths by nearly 20%.
Researchers from Aarhus University Hospital and Aarhus University have led a major international analysis showing no increased risk of neurodevelopmental disorders in children of fathers treated with valproate. The findings raise questions about the basis for current European precautionary measures.
Fast charging shortens the life of vehicle batteries, but is necessary on longer journeys with electric vehicles. Researchers at Chalmers University of Technology, Sweden, have now developed a new AI method that adapts fast charging to the health of the battery. Their study shows that battery life can be increased by almost 23 per cent without extending the charging time. All that is required is an update of the vehicle’s software.
Language education plays a key role in helping foreign residents settle into society. However, Japan heavily relies on volunteers for it. New research conducted at Doshisha University investigates how volunteer-led Japanese classes function within national policies and local realities. Using policy analysis and on-field research, the study reveals that this reliance results in a “semi-professional” teaching environment that not only influences learning outcomes but may also limit the potential of volunteers and foreign residents.
Researchers at the National University of Singapore have developed a high-throughput method to identify gold nanoparticles capable of delivering therapies directly to mitochondria (the energy centres inside cancer cells). By tagging nanoparticles with unique DNA “barcodes”, the team was able to track and compare dozens of designs simultaneously in living tumour models, rapidly identifying those most effective at reaching this critical subcellular target.