Longevity & Aging Series (S4, E1): Fedor Galkin Titelbild

Longevity & Aging Series (S4, E1): Fedor Galkin

Longevity & Aging Series (S4, E1): Fedor Galkin

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 Senior Scientist Fedor Galkin from Insilico Medicine in Abu Dhabi, UAE, joins Dr. Evgeniy Galimov to discuss a research paper he co-authored in Volume 17, Issue 8 of Aging-US, titled “AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging.” DOI - https://doi.org/10.18632/aging.206295 Corresponding author - Alex Zhavoronkov - alex@insilico.com Video interview - https://www.youtube.com/watch?v=PV6DyIV7X7U Abstract video - https://www.youtube.com/watch?v=24lX2lHbt7o Longevity & Aging Series - https://www.aging-us.com/longevity Abstract Idiopathic pulmonary fibrosis (IPF) is a condition predominantly affecting the elderly and leading to a decline in lung function. Our study investigates the aging-related mechanisms in IPF using artificial intelligence (AI) approaches. We developed a pathway-aware proteomic aging clock using UK Biobank data and applied it alongside a specialized version of Precious3GPT (ipf-P3GPT) to demonstrate an AI-driven mode of IPF research. The aging clock shows great performance in cross-validation (R2=0.84) and its utility is validated in an independent dataset to show that severe cases of COVID-19 are associated with an increased aging rate. Computational analysis using ipf-P3GPT revealed distinct but overlapping molecular signatures between aging and IPF, suggesting that IPF represents a dysregulation rather than mere acceleration of normal aging processes. Our findings establish novel connections between aging biology and IPF pathogenesis while demonstrating the potential of AI-guided approaches in therapeutic development for age-related diseases. Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.206295 Subscribe for free publication alerts from Aging - https://www.aging-us.com/subscribe-to-toc-alerts Keywords - aging, IPF, generative AI, transformer, proteomics To learn more about the journal, please visit our website at https://www.Aging-US.com​​ and connect with us on social media at: Bluesky - https://bsky.app/profile/aging-us.bsky.social ResearchGate - https://www.researchgate.net/journal/Aging-1945-4589 Facebook - https://www.facebook.com/AgingUS/ X - https://twitter.com/AgingJrnl Instagram - https://www.instagram.com/agingjrnl/ LinkedIn - https://www.linkedin.com/company/aging/ YouTube - https://www.youtube.com/@Aging-US Reddit - https://www.reddit.com/user/AgingUS/ Pinterest - https://www.pinterest.com/AgingUS/ Spotify - https://open.spotify.com/show/1X4HQQgegjReaf6Mozn6Mc MEDIA@IMPACTJOURNALS.COM
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