

Biomedical Transformer Language Model for Age-Related Disease Discovery
Oct 25, 2023
09:53
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.205055
Corresponding author - Alex Zhavoronkov - alex@insilico.com
Video interview - https://www.youtube.com/watch?v=kIJvrY7n3n0
Interview transcription - https://aging-us.net/2023/10/25/behind-the-study-biomedical-transformer-language-model-for-age-related-disease-discovery/
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Keywords - aging, transformers, deep learning, therapeutic target discovery, aging biomarkers, human aging
About Aging-US
Launched 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.
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