I will talk about what #RealWorldData from #Aging Research Can Teach Us for #AI-based #PrecisionMedicine in #Drug Development" at the 15th Drug Discovery Innovation Forum. Among other papers I will discuss a Nature paper from last year: "Heterogeneous #aging across multiple #organ systems and prediction of chronic #disease and #mortality[1]" From the abstract: ➡"Biological aging of human #organ systems reflects the interplay of age, #chronicdisease, #lifestyle and #genetic risk. Using longitudinal #brainimaging and physiological phenotypes from the UK Biobank, we establish normative models of biological age for three brain and seven body systems. ➡Here we find that an organ’s biological age selectively influences the aging of other organ systems, revealing a multiorgan aging network. ➡We report organ age profiles for 16 chronic diseases, where advanced biological aging extends from the organ of primary disease to multiple systems. Advanced body age associates with several lifestyle and environmental factors, leukocyte telomere lengths and mortality risk, and predicts survival time (area under the curve of 0.77) and premature death (area under the curve of 0.86). Our work reveals the multisystem nature of human aging in health and chronic disease. It may enable early identification of individuals at increased risk of aging-related morbidity and inform new strategies to potentially limit organ-specific aging in such individuals." [1]Tian, Y.E., Cropley, V., Maier, A.B. et al. Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality. Nat Med 29, 1221–1231 (2023).
"What #RealWorldData from #Aging Research Can Teach Us for #AI-based #PrecisionMedicine in #Drug Development" Rudi Schmidt, our COO, will talk about this at the 15th Annual Drug Discovery Innovation Forum in Berlin #DDIF (September 4th / 5th). He will highlight several perspectives, for example, ➡How different organ aging could point the way to more adequate subgroups in younger participants ➡What the predictive power of #artificialintelligence on cognitive decline teaches us for other applications ➡Analyse longitudinal data of aging cohorts from a drug developer’s perspective Join Rudi and other panellists such as Martin Hofmann-Apitius, Head of the Department of Bioinformatics at Fraunhofer SCAI Franziska Thomas, Partner, Head of Healthcare and Life Sciences Central Europe at Arthur D. Little in person at the DDIF http://www.ddisummit.co.uk GBX EVENTS Sheryll Lusk