Longevity & Aging Series

Aging (Aging-US) and FOXO Technologies collaborated to produce a special video series on aging research: Longevity & Aging Series. In this limited series, selected Aging researchers were invited to speak about their research with host Dr. Brian Chen, an adjunct faculty member at the University of California San Diego. LEARN MORE

EPISODE 5: Dr. Amit Sharma

Dr. Amit Sharma, Group Lead from SENS Research Foundation, discusses a research paper he co-authored that was published in Volume 14, Issue 5, of Aging (Aging-US), entitled, “Enhanced co-culture and enrichment of human natural killer cells for the selective clearance of senescent cells.”

DOI - https://doi.org/10.18632/aging.203931

EPISODE 4: Drs. Carly Bobak, Cristian Coarfa, Andrew DiNardo

Drs. Carly Bobak, Cristian Coarfa and Andrew DiNardo discuss a research paper they co-authored that was published in Volume 14, Issue 5, of Aging (Aging-US), entitled, “Increased DNA methylation, cellular senescence and premature epigenetic aging in guinea pigs and humans with tuberculosis.”

DOI - https://doi.org/10.18632/aging.203936

EPISODE 3: Dr. Steve Horvath - Epigenetic Clocks

Dr. Steve Horvath, Professor of Human Genetics and Biostatistics at UCLA, and Principal Investigator at Altos Labs, discusses the evolution of aging research and epigenetic clocks with host Dr. Brian Chen.

Special Collection - https://www.aging-us.com/special-collections-archive/steve-horvath

EPISODE 2: Dr. Steve Horvath's Special Collection in Aging

Dr. Steve Horvath, Professor of Human Genetics and Biostatistics at UCLA, and Principal Investigator at Altos Labs, revisits papers he co-authored that were published by Aging (Aging-US) and featured as a special collection of his research.

Special Collection - https://www.aging-us.com/special-collections-archive/steve-horvath

EPISODE 1: Dr. Alex Zhavoronkov and Dr. Frank Pun

Drs. Alex Zhavoronkov and Frank Pun from Insilico Medicine discuss their research paper recently published by Aging (Aging-US), entitled, “Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine.”

DOI - https://doi.org/10.18632/aging.203960