The speculation as to the status of Michelle Tarver, the acting director of the U.S. FDA’s device center, is officially over despite disclaimers at. The outgoing director, Jeff Shuren, said Tarver “will make a great center director” in remarks during an Oct. 17 public appearance, thus cementing Tarver’s role at FDA.
Backed by AI technology, Aigen Sciences Inc. raised ₩12 billion (US$8.8 million) in a series A financing round to further advance its cancer and rare disease drug pipelines.
The U.S. FDA gave the 510(k) green light to Echo IQ Ltd.’s Echosolv AS for its AI-enabled software as a medical device to be used as a decision support aid in detecting severe aortic stenosis.
It’s hard to know where to start in describing the biopharma applications of the 2024 Nobel Prize in Physics. It was awarded to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
It’s hard to know where to start in describing the biopharma applications of the 2024 Nobel Prize in Physics. It was awarded to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Certis Oncology Solutions Inc. filed for protection of its artificial intelligence platform that utilizes big data, statistical algorithms, and machine learning to predict drug efficacy based on gene expression biomarkers.
China’s National Medical Products Administration wrapped up a revision of its device classification procedures, providing entries into one of the world’s largest markets a mechanism for obtaining means for determining the risk of a novel device type.
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.
