Big Data in Drug Discovery: 5 Experts Share Their Thoughts at RESI Boston

7 Sep

By Michael Quigley, VP of Investor Research, LSN

mike-2To reduce the massive costs associated with getting a new drug approved, many startups, large pharma companies, venture funds, and others are looking to big data for a solution. These firms are researching, partnering, and investing into machine learning and artificial intelligence systems that scour through massive drug and target libraries to more quickly identify potential candidates than a team of researchers could. These technologies are leveraging all kinds of scientific and medical data including chemical, biologic, genomic and clinical datasets to best identify candidates. Companies are touting their tech promises “years” of savings and lower failure rates in research that can now be done through advanced algorithms. This may seem like quite the promise, but if you look at the number and size of deals in the space just in the past year, it’s clear that big players are listening (1, 2, 3, 4, 5, 6).

At RESI Boston this September 26th we are bringing together a panel of 5 experts in this space to discuss their thoughts on the challenges and opportunities that the use of Big Data in Drug Discovery currently faces. These speakers include a promising company with an emerging drug discovery technology, a massive CRO, and three venture funds, all actively working in this space. Look below to see the speakers for yourself. This is another cutting-edge session you won’t want to miss!

  • Richard Soll, Senior Vice President, Research Service Division, WuXi AppTec (moderator)
  • Gini Deshpande, Founder and Chief Executive Officer, NuMedii, Inc.
  • Millie Liu, Founding Partner, Managing Director, Procyon Ventures
  • Dylan Morris, Partner, CRV
  • Annie Hazlehurst, Founder, Faridan

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