Longevity, eternal youth or even immortality have been an aspiration in religion and culture throughout history. Today, people adopt all sorts of approaches to increase their wellbeing, delay aging and avoid diseases. Efforts are increasingly quantified with sensors, wearables, or...

Longevity, eternal youth or even immortality have been an aspiration in religion and culture throughout history. Today, people adopt all sorts of approaches to increase their wellbeing, delay aging and avoid diseases. Efforts are increasingly quantified with sensors, wearables, or even biohacking - interventions to influence body biology. The new hope for advancements in longevity is seen in artificial intelligence, which is becoming increasingly powerful.

Alex Zhavoronkov has been researching the use of AI in aging for years. He is the CEO of Insilico Medicine, a Baltimore-based leader in the next-generation artificial intelligence technologies for drug discovery and aging biomarkers discovery. He truly is a well of knowledge - since 2012 he published over 130 peer-reviewed research papers and 2 books including "The Ageless Generation: How Biomedical Advances Will Transform the Global Economy" (Palgrave Macmillan, 2013).

In this episode, he talks about the complexity of aging as a biological process, types of artificial intelligence and the role of AI in research advancements.

Some of his latest research articles include:

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers - https://www.nature.com/articles/s41598-018-35704-w#author-information

Artificial intelligence for aging and longevity research: Recent advances and perspectives - https://www.sciencedirect.com/science/article/pii/S156816371830240X?via%3Dihub

Artificial Intelligence for Drug Discovery, Biomarker Development, and Generation of Novel Chemistry - https://pubs.acs.org/doi/10.1021/acs.molpharmaceut.8b00930

Listen also:

F013 What to expect from artificial intelligence in healthcare in the next 10 years? (Sally Daub, Enlitic)

https://medium.com/faces-of-digital-health/f013-what-to-expect-from-artificial-intelligence-in-healthcare-in-the-next-10-years-fdaf2edf32f8