Scientists at the Center for Genomic Regulation (CRG) have developed an AI-based tool to design thousands of sequences that regulate DNA. They have also synthesized these molecules, called enhancers, to control gene activation in mouse hematopoietic stem cells, which they have tested in vitro.

The Advanced Medical Technology Association released a policy proposal for AI in medical devices that took the U.S, FDA to task for its guidance for predetermined change control protocols for AI, stating that the guidance is “inconsistent with the statutory authority” for PCCPs.

The U.S. FDA’s January 2025 draft guidance for AI-enabled device software functions has not fared well in terms of industry response. Two major trade associations argue that the draft is at least somewhat redundant with existing agency guidance.

The U.S. FDA cleared Artrya Ltd.’s Salix Coronary Anatomy software that analyzes coronary computed tomography angiogram scans via AI to better diagnose coronary artery disease.

The U.K. Medicines and Healthcare Products Regulatory Agency (MHRA) unveiled the pilot version of its AI Airlock in 2024, and the agency posted a list of the products that are taking part in this version of a regulatory sandbox.

Digital therapeutics coupled with drugs has the potential to transform health care and change the way patients are treated, Anthony Costello, CEO of Medidata Solutions Inc., told BioWorld. Medidata recently strengthened its partnership with Click Therapeutics Inc., following an investment from its parent company Dassault Systèmes SE, which will see the two companies working to develop new therapies to improve the experience of patients.

Scientists in the U.K. have developed a new meta-material, dubbed Roliner, to improve the fitting of wearable devices made from hard materials, such as prosthetic limbs.

The three-dimensional analysis of cell types and their locations by spatial transcriptomics provides key information of their interactions within tissues or organs. Based on this technology, scientists at the Wellcome Sanger Institute have developed an AI tool called Nichecompass, which shows a comprehensive view of the cancer microenvironments, the different cells, their locations, and how they communicate with each other through different molecules inside the tumor.

The three-dimensional analysis of cell types and their locations by spatial transcriptomics provides key information of their interactions within tissues or organs. Based on this technology, scientists at the Wellcome Sanger Institute have developed an AI tool called Nichecompass, which shows a comprehensive view of the cancer microenvironments, the different cells, their locations, and how they communicate with each other through different molecules inside the tumor. This AI could process data in an hour and compare samples before and after a treatment.

Scientists at the Institute of Cancer Research (ICR) in the U.K. are developing a technology that analyzes, in vitro, how the 3D morphology of cancer cells changes when exposed to a compound, using AI to predict their response to new treatments. The researchers estimate that their methodology could accelerate drug development by 6 years, by ruling out unsuccessful drugs and thus reducing the number of preclinical trials.