Calico a company focused on building anti-aging solutions

Anti- aging is the most sought after medical intervention. It has gained huge attention, and a number of studies have already started with regard to anti- aging. Few companies have even come up with techniques that make anti- aging a reality. Having this as a backdrop, Google has launched a company, Calico focusing on health and well-being, especially anti- aging.

Daphne Koller, Ph.D., has recently joined the company as the Chief Computing Officer. Dr. Koller is to lead the company’s computational biology efforts. She is currently engaged in building her team to work on developing computational and machine learning tools. Mainly for analyzing biological and medical data sets.

Dr. Keller and her team are believed to work closely with the biological scientists at Calico. The main aim is to design experiments and build data sets that enable deeper understanding about the science of longevity. Thereon, it focuses on supporting the development of new interventions concerning the extension of healthy lifespan.

Calico is planning to adopt machine learning so as to understand the complex biological processes that are involved in aging.

Calico has entered into a multi- year collaboration with Jackson Laboratory (JAX), a nonprofit biomedical research institution. The collaboration is primarily emphasised upon applying mouse genetics to the study of aging in humans.

Ancestry DNA has also come to join hands with Calico. Both together are to analyse and test the role of genetics and thereon, identify its influence along the family tree. The study is set to performed on families experiencing unusual longevity.

The team proposes to do this by using Ancestry’s proprietary databases, tools, and algorithms.  After which, Calico works upon on developing and commercialising any possible therapeutics that they might come up with, based on the analysis.

Both Calico and Ancestry DNA will together evaluate medical data collected from millions of public family trees and a growing database of over one million genetic samples.

 

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Shobith MAKAM Written by: