Explore Google/Alphabet’s Quest to solve Aging with Dr. Adam Freund PhD of Calico Life Sciences

Google / Alphabet’s Quest to Cure Aging
Dr. Adam Freund, PhD., Calico Life Sciences Discusses Google Quest for Aging Solutions.

Ira Pastor, ideaXme life sciences ambassador interviews Dr Adam Freund, PhD, Principal Investigator at Calico Life Sciences (Calico). https://www.calicolabs.com

Ira Pastor’s comments

Calico is a biotechnology company that focuses on research and development. It was founded by Google / Alphabet and aims to combat aging and age-related diseases.

Calico is in a partnership worth a billion dollars with AbbVie. The partnership focuses on ageing and age-related illnesses, including neurodegeneration and tumors. Calico has also formed partnerships with 2M Companies and the University of Texas Southwestern Medical Center (in relation to drug development for neurodegenerative diseases), with the Broad Institute of MIT & Harvard (to advance age-related disease and therapeutic research), and with the Buck Institute for Research on Aging.

Calico also announced a collaboration with the California Institute for Quantitative Biosciences, QB3, to research the biology of aging. This partnership will identify potential therapeutics for diseases associated with aging. Another partnership is with Ancestry-DNA for the purpose of conducting genetic research on human lifespan.

Dr. Adam Freund is a Principal Scientist at Calico Life Sciences. He studies aging from a systems biology perspective.

The University of California at Berkeley awarded Dr. Freund a Ph.D. Dr. Freund’s lab, which is part of Stanford University’s Materials Science and Engineering department, works to identify and evaluate post-developmental interventions, that can slow or reverse aging. They also work to understand whether ageing is regulated in different tissue compartments by the same mechanisms. His lab builds tools that can modulate spatial and temporal targets in preclinical model systems, such as gene delivery, small molecules, and large molecules, using automated high-content methods. These tools are used to test hypotheses about aging in a rapid and functionally relevant way.

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