The BioWorld Insider podcast is a monthly dive into the business and science of drug development. Conversations with CEOs and BioWorld analysts in the past 12 months have included a wide range of chats with experts who are shaping the future.
With artificial intelligence (AI) becoming more and more common in drug development since 2016, the U.S. FDA is now issuing its first draft guidance on that use. The “FDA recognizes the increased use of AI throughout the drug product life cycle and across a range of therapeutic areas. In fact, CDER has seen a significant increase in the number of drug application submissions using AI components over the past few years,” a CDER spokesperson told BioWorld. “These submissions traverse the drug product life cycle, which includes nonclinical, clinical, postmarketing and manufacturing phases.”
More than two years since emerging from stealth, Vesalius Therapeutics Inc. signed its first major pharma deal with GSK plc. Worth up to $650 million and possibly more if an option is exercised, the multitarget alliance aims to discover and develop novel treatments for Parkinson’s disease and another neurodegenerative indication.
More than two years since emerging from stealth, Vesalius Therapeutics Inc. signed its first major pharma deal with GSK plc. Worth up to $650 million and possibly more if an option is exercised, the multitarget alliance aims to discover and develop novel treatments for Parkinson’s disease and another neurodegenerative indication.
Just ahead of the EMA setting out its latest thinking on regulation in the new era of artificial intelligence (AI), the industry has put forward its position on how to ensure AI rules enable, rather than hinder, the drug development and approval process.
Artificial intelligence (AI) is enabling a foundational understanding of drug discovery that is changing the typical pathway used in modern development. The powerful new computer technology will lead developers from conducting hypothesis-driven research to more and deeper data-driven research, Manolis Kellis, professor at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT) and an associate member at the Broad Institute of MIT and Harvard University, told those attending the BioFuture 2024 conference in New York on Oct. 28.
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.
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.
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.”
