Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Leung from Insilico Medicine Hong Kong Ltd., discuss a research paper they co-authored that was published by Aging (Aging-US) in Volume 15, Issue 18, entitled, “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.”DOI - https://doi.org/10.18632/aging.205055Corresponding author - Alex Zhavoronkov - alex@insilico.comVideo interview - https://www.youtube.com/watch?v=kIJvrY7n3n0Interview transcription - https://aging-us.net/2023/10/25/behind-the-study-biomedical-transformer-language-model-for-age-related-disease-discovery/Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.205055Subscribe for free publication alerts from Aging - https://www.aging-us.com/subscribe-to-toc-alertsKeywords - aging, transformers, deep learning, therapeutic target discovery, aging biomarkers, human agingAbout Aging-USLaunched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.Please visit our website at https://www.Aging-US.com​​ and connect with us:SoundCloud - https://soundcloud.com/Aging-UsFacebook - https://www.facebook.com/AgingUS/X - https://twitter.com/AgingJrnlInstagram - https://www.instagram.com/agingjrnl/YouTube - https://www.youtube.com/@AgingJournalLinkedIn - https://www.linkedin.com/company/aging/Pinterest - https://www.pinterest.com/AgingUS/Media Contact18009220957MEDIA@IMPACTJOURNALS.COM