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Combinatorial Aging Interventions Screening

Longevity and Aging
Develop aging-relevant in vitro models and screen combinations of interventions (e.g., small molecules, gene therapies) using multi-omic and functional readouts to identify synergistic treatments that extend lifespan or promote regeneration.

R&D Gaps (1)

Our understanding of human physiology and disease remains incomplete. In the last century, we have developed cures for many diseases with well-defined root causes (polio, smallbox, cholera, SMA, cervical cancer, etc.). However, a wide array of conditions still eludes cures and treatments. We have yet to fully decipher the dynamic interplay between brain and peripheral systems, the bioenergetic processes underlying chronic conditions, and the multifactorial pathways that drive aging. The biological mechanisms driving complex diseases and the aging process are multifactorial, involving multiple interacting pathways.  Although we understand some individual aging mechanisms, we do not yet have line of sight to comprehensively rejuvenating mammals or extending lifespan. To overcome these challenges, we need combinatorial approaches that can modulate multiple mechanisms simultaneously, allowing us to measure multi-system impacts and develop effective interventions.