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.

Omada Health Inc. rang the opening bell on the New York Stock Exchange on June 6, marking its first day as a public company, but it won’t be the most recent IPO for very long. Continuing the brisk pace seen so far this year, Caris Life Sciences Inc. is hot on its heels with a road show in progress leading up to its expected debut on the Nasdaq next week.

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.

The U.S. FDA reported the launch of its in-house generative AI (GenAI) tool, dubbed Elsa, for a variety of purposes. FDA commissioner Marty Makary assuaged industry’s privacy concerns by promising that the algorithm does not train on data submitted by makers of devices and pharmaceuticals.

A research team led by consultant and orthopedic surgeon Glen Liau Zi Qiang from Alexandra Hospital in Singapore developed a new AI algorithm to improve the accuracy and efficiency of robotic total knee arthroplasty (rTKA) surgery.

Despite the advancement of AI and machine learning technologies and their incorporation into cancer treatment and drug development, a lack of trust and understanding of these new approaches is impeding care and treatment.

Royal Philips NV unveiled its Future Health Index report for 2025, and it reveals the widening trust gap between health care professionals and patients concerning the adoption of AI in health care.