Systems biology of aging examines aging as an emergent property of interacting biological networks rather than isolated pathways. This approach integrates molecular, cellular, tissue, and organismal data to understand how aging processes propagate across systems. Systems biology of aging focuses on feedback loops, robustness, and network failure that lead to functional decline. Aging arises from progressive loss of system integration and adaptability. By modeling interactions among metabolic, immune, neural, and repair systems, this field identifies points of vulnerability and resilience. Systems biology of aging supports predictive models of aging trajectories and guides design of interventions targeting network stability rather than single mechanisms.
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