Public Release: 

InSilico Medicine CEO to present at Oxford University

Alex Zhavoronkov, PhD alongside other leaders will gather to discuss the role of big data in medicine and further establish its foundation in the scientific and business communities

InSilico Medicine, Inc.

Next week on September 15th, Alex Zhavoronkov, PhD, CEO of InSilico Medicine, will present at the 21st Century Medicine Forum: Big Data Science in Medicine at the Martin Wood Lecture Theater, Oxford University, Physics Department. The title of his talk is "Occam's razor in drug discovery for aging and cancer: in search for universal and personalized geroprotector regiments". The event is free to attend and seeks to hasten progress of approaches to aging. Notable individuals such as Aubrey de Grey of the SENS Foundation will also be present to speak.

With regards to aging and this congress, Alex comments, "Aging is a complex multifactorial process with many intertwined cause and effect relationships that are still poorly understood and we need novel approaches for big data analysis to start making the first steps towards slowing down the pathologic age-related processes and repairing the accumulated damage. One of our goals is to evaluate the possible geroprotective effects of the currently approved or OTC drugs with known effects on the human cells and tissues, clinical, adverse effects and toxicity data to find combinations that will work on the population level and develop methods to personalize the regiments. This conference provides a perfect platform to discuss some of our early results before presenting them at the much larger conference in Basel, Switzerland later this month."

This event serves as an example of the widespread and growing interest in aging prevention applications. Not only is the research community involvement increasing, but venture capitalists, top businesspeople, and well-established companies are all recognizing its future impact.


For more information, visit

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.