The new collaboration is an indication of research into aging biomarkers together with the interventions discovered over the past five years is advancing. The collaboration is through the startup Napa Therapeutics, Ltd. Napa is to develop drugs against a novel aging-related target, as Business Insider reports. In terms of what each company will offer, the Buck Institute is one of the primary research centers focused on research into aging and the elimination of age-related disease. Insilico Medicine is an artificial intelligence pioneer, which is looking at on a range of factors associated with aging.

Monday, May 8th, London, UK - The Chief Science Officer of the Biogerontology Research Foundation (BGRF) will present new research on artificial intelligence for drug discovery at the NVIDIA Graphics Technology Conference (GTC) at the San Jose Convention Center, on Wednesday, May 10, 1:00 PM - 1:50 PM alongside two AI scientists from the BGRF and Insilico Medicine, where they will deliver a presentation titled "Applications of Generative Adversarial Networks to Drug Discovery in Oncology and Infectious Diseases". NVIDIA is the leader in computational hardware optimized for deep learning-based applications, and they are on the forefront of supporting research companies and institutions applying deep learning to grand unsolved problems, with the application of deep learning to drug discovery and development being no exception, as they described in detail in their article "Creating New Drugs, Faster: How AI Promises to Speed Drug Development". "The application of deep learning to ageing research is poised to make rapid progress on many fronts in the years to come. Foremost among these are the application of deep learning to the characterization of quantifiable and practically-measurable biomarkers of ageing (a necessity for the eventual regulatory evaluation and approval of healthspan-extending therapies) and the acceleration of drug discovery and development timelines by using deep learning to characterize drug candidates according to likely efficacy and safety prior to preclinical and clinical trials. AI, machine learning and deep learning have disrupted many industries and areas of activity that were previously the exclusive arena of human cognition, and in the coming years it seems likely that the pharmaceutical industry and the process of drug discovery and development will come to be radically disrupted by AI and deep learning-based approaches as well" said Franco Cortese, Deputy Director & Trustee of the Biogerontology Research Foundation.