Researchers from Johns Hopkins University have filed for protection of their Optimal Target Identification via Modelling of Arrhythmogenesis technology – a method that builds a model of a patient’s heart from a cardiac MRI.

Owkin Inc. partnered with Astrazeneca plc to develop an artificial intelligence (AI)-powered tool to pre-screen for germline BRCA mutations (gBRCAm) in breast cancer directly from digitized pathology slides. The companies hope that the gBRCA pre-screening solution will not only transform patients’ lives but bring value to health care systems.

A collaborating team of researchers from the U.K.’s University College London and the Incliva Biomedical Research Institute in Valencia, Spain, filed for protection of a machine learning model called AMMON-OHE to predict occurrence of overt hepatic encephalopathy in patients with cirrhosis of the liver.

Mental tech startup Doctorpresso Co. Ltd. launched an audio journaling mobile application called Redi, in South Korea, as a voice analysis software capable of detecting depression through artificial intelligence-aided speech analysis.

Australia is the skin cancer capital of the world, but with a shortage of dermatologists, patients often wait too long to get skin checks that could end up costing them their lives.

In what represents its first patenting, Roseville, Minn.-based Iveacare Inc. provides insights as to what its first therapeutic target will likely be since the developer of neuromodulation therapy devices emerged from stealth mode in April 2024 with the closing of $27.5 million series A financing.

Australia is the skin cancer capital of the world, but with a shortage of dermatologists, patients often wait too long to get skin checks that could end up costing them their lives.

The Nov. 20-21 meeting of the digital health advisory committee will discuss the use of generative artificial intelligence algorithms in medical devices with a focus on the total product life cycle – a theme that suggests a concern on the agency’s part regarding the reliability of these algorithms’ output.

The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.

Qure.ai Technologies Private Ltd.’s Qxr artificial intelligence-powered chest X-ray interpretation system identified high-risk pulmonary nodules an average of 32 months before physicians diagnosed lung cancer, a study presented September 8 at the International Association for the Study of Lung Cancer 2024 World Conference on Lung Cancer in San Diego found.