MedTech News
.................... by Andrew Celentano
Bioresorbable implant electrically stimulates organs, nerves and muscles then vanishes after treatment
Researchers at Northwestern University, Sungkyunkwan University and other institutes recently developed a new implantable and bioresorbable system that could be used to electrically stimulate specific organs, muscles or nerves inside the body.
FDA grants breakthrough status to Aidoc’s AI radiology report system
First Read aims to address interpretation bottlenecks by producing preliminary, high-quality report drafts.
Unfolding stomach capsule could target ulcer-causing bacteria for 48 hours
The clever trick that researchers at UiT The Arctic University of Norway came up with—and tested successfully—is to combine a natural polymer from algae, long chains of molecules, with a synthetic polymer. Then they added the antibiotic ciprofloxacin and folded the whole thing to pack it neatly into a capsule.
AI-aided ‘master key’ vaccine may block entire virus families, not single strains
Now, new AI-aided vaccine technology developed by scientists at Cambridge University offers potential immunity against whole families of viruses and could even prevent the next pandemic, according to researchers.
AI framework helps identify new targets for CAR T cell therapy
Leading CAR T cell therapy researchers have developed a human-in-the-loop artificial intelligence (AI) framework that centers scientists’ expertise to find viable target antigens for CAR T cell therapy.
BrightHeart secures CE mark for AI-powered prenatal ultrasound platform
This authorisation will expand the B-Right AI platform’s use to Europe, as BrightHeart continues to roll the technology out across the US.
Bandage-like device delivers hydrogen sulfide to wounds, boosting blood flow where healing stalls
Now, researchers at the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) are developing an approach that could improve healing by increasing blood flow directly at the wound site.
AI system detects sudden cardiac death risk, identifying thousands more patients annually
With a new tool that could transform how that game is played, UC Berkeley researchers have discovered a previously unrecognized signal in electrocardiograms that can better detect high-risk patients before their hearts stop.