World Aging & Longevity Conference
October 08-10, 2026
AI, Big Data and Digital Health in Aging
This AI, Big Data and Digital Health in Aging session examines how artificial intelligence, machine learning, and large-scale data are transforming research and care in aging. Topics include predictive modeling of functional decline, multimorbidity, and mortality; analysis of imaging, omics, and electronic health records; and digital biomarkers derived from wearables and sensors. Presentations will explore AI-supported clinical decision tools, remote monitoring, telehealth, and digital therapeutics tailored to older adults. The track will also address issues of bias, interpretability, data privacy, and usability in aging populations. Emphasis will be on rigorously evaluated applications that improve risk assessment, intervention targeting, and delivery of geriatric and longevity care.
Kenneth R Pelletier
University of California School of Medicine, United States
Thomas J Webster
Brown University, United States
Jason Beckwith
BioTalent, United Kingdom
Sergey Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Jose Cordeiro Mateo
International Longevity Summit, Spain
Ashot Khachatryan
National Academy of Sciences of the Republic of Armenia, Armenia
Utpol Das
University of Texas Medical Branch at Galveston, United StatesSubmit your abstract Today
Title : Change your genes – Change your life: Epigenetics of longevity
Kenneth R Pelletier, University of California School of Medicine, United States
Title : Improving mobility and health in over 45,000 humans using nanomedicine
Thomas J Webster, Brown University, United States
Title : An introduction to alchemical facial acupuncture: Sparking the shen
Mary Elizabeth Wakefield, Chi-Akra Center for Ageless Aging, United States
Title : Decoding the secret of longevity through big data: Noncoding RNAs—not proteins—drive animal lifespan evolution
Anyou Wang, DIFIBER LLC, United States
Title : Aspirin guided by coronary artery calcium scoring for primary prevention in persons with subclinical coronary heart disease
Arthur J Siegel, McLean Hospital, United States
Title : When BMI misleads: Integrating body composition, biomarkers, and personalized interventions for cardiometabolic healthspan in aging Asian and European cohorts
Narendra Kumar, HeartbeatsZ Academy, United Kingdom