The continuing proliferation of U.S. state privacy law drew the attention of developers of med-tech wearables for some time, but a recent Senate hearing delivered the news to Congress that a failure to preempt it will slow digital health innovation to a crawl.

Qanatpharma AG (QP), Zuse Institute Berlin (ZIB), Enamine Ltd. and Proteros biostructures GmbH have announced the launch of a research collaboration to accelerate the discovery of novel therapeutics targeting cerebral perfusion deficits associated with subarachnoid hemorrhage (SAH).

Chugai Pharmaceutical Co. Ltd. and Gero Pte Ltd. have entered into a joint research and license agreement to develop novel therapies for age-related diseases. Chugai will create novel antibody-drug candidates for new drug targets discovered by Gero using its AI target discovery platform.

The U.K. government revealed its much anticipated 10-year plan to get the National Health Service back on its feet and fit for the future. It is betting on five technologies – data, AI, Genomics, wearables and robotics – to drive the change needed to transform the health care system.

The U.K. Medicines and Healthcare Products Regulatory Agency opened a second round in its AI airlock program although this round, like the first round, will be limited to four applicants.

South Korea’s Ministry of Food and Drug Safety on June 9 approved Vuno Inc’s AI-based Med-DeepECG Kidney software as a non-invasive method to screen for kidney dysfunction.

Researchers at the Massachusetts Institute of Technology and Recursion Pharmaceuticals Inc. have released an open-source AI model that can predict the binding strength of small molecules as well as structures of proteins and biomolecular complexes. The model, which is called Boltz-2 and was released by the research team on the developer platform Github on June 6, addresses a major bottleneck in drug discovery with its improved ability to predict binding strengths.

The European Commission is seeking feedback from stakeholders on the oversight of high-risk AI products, one objective of which is to develop a series of guidelines for classification of high-risk AI systems – a consideration of great interest to med-tech firms doing business in the EU.

Researchers at the Massachusetts Institute of Technology and Recursion Pharmaceuticals Inc. have released an open-source AI model that can predict the binding strength of small molecules as well as structures of proteins and biomolecular complexes. The model, which is called Boltz-2 and was released by the research team on the developer platform Github on June 6, addresses a major bottleneck in drug discovery with its improved ability to predict binding strengths.

Aiatella Oy secured €2 million (US$2.28 million) in funding for its AI-powered cardiovascular imaging technology. The funds will be used to conduct clinical trials and develop the company’s ultrasound-based preventative screening tool, which detects and quantifies carotid artery narrowing in minutes.