Zhavoronkov’s vision marks the transition of drug discovery from an unpredictable art to a systematic, data-driven engineering discipline. By collapsing decades of research into months, AI is finally industrializing the process of biological innovation.
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AI is already using simulations to blaze a new trail in health and longevity.
Just look at In Silico Medicine. They used AI to analyze a variety of illnesses that they might be able to cure. My name is Alex Zhavoronkov and I'm the founder and CEO of a company called In Silico Medicine.
I specialize in AI-powered [music] drug discovery. So, developing artificial intelligence solutions to accelerate the way drugs are discovered and developed. AI [music] is a tool which allows us to go into drug discovery much faster, go after much more challenging biological and chemical problems with higher confidence.
>> When the AI set its focus on IPF, idiopathic pulmonary fibrosis, it's a respiratory disorder with no known cure, it combed through innumerable data sets to understand the disease's effects and the key proteins fueling the illness.
And then, the AI designed a series of entirely new molecular structures to target the problem. After that, the AI ran virtual simulations to test the new molecules against the disease. During that process, it discarded treatments that turned out to be unsafe or ineffective. And it refined the molecules that did work to make them work better. In Silico's AI was like a super scientist. Compressed what would have been decades worth of research and testing into about 18
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