Quibim has announced the European and UK launch of QP-Breast, its CE and UKCA-marked AI tool – the first in Europe and the United Kingdom to detect breast cancer using magnetic resonance imaging – which automatically identifies suspected lesions on breast MRI.
An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by researchers at KAIST. The team created an AI model that learns behavioral data in a manner similar to natural language and was able to independently identify social behavioral deficits in an autism mouse model, opening a new avenue for interpretable neuroscience.
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high blood pressure, high cholesterol, gout, osteoporosis and thyroid disease in seconds.
Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at risk of low blood sugar up to 24 hours before the condition occurs
Associate Professor Hyun-Do Jung from Hanyang University and his team, based in Korea, have now developed an artificial intelligence (AI)-guided microneedle patch that actively changes shape at physiological temperature (37°C) to help close wounds while delivering regenerative therapy and antibacterial protection.
First Read aims to address interpretation bottlenecks by producing preliminary, high-quality report drafts.
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.
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.
This authorisation will expand the B-Right AI platform’s use to Europe, as BrightHeart continues to roll the technology out across the US.
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.