Leverage ML/AI to Assist with Clinical Trial Recruitment Registration

Start Date:7/14/2020

Start Time:12:00 PM EDT

Duration:60 minutes

Abstract:

In this webinar, Biogen, and their partner IPM.ai, will discuss how leveraging machine learning and artificial intelligence can help improve trial recruitment.

Whether it's selecting possible location sites, expanding the list of physicians who treat the disease (vs. focusing only on a smaller subset like your target list), utilizing de-identified longitudinal claims and cutting edge machine learning techniques puts Biogen at the forefront for their clinical trial recruitment efforts.

If you're already registered for the Leverage ML/AI to Assist with Clinical Trial Recruitment webcast, click below:

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Speakers

Adam Jenkins

Assoc. Dir, Global Head of Data Science

Biogen

Adam Jenkins is the Assoc. Director, Global Head of Data Science, where he works on optimizing commercial, medical and product outcomes through marketing, marketing and field force infrastructure utilizing data science and predictive analytics. Biogen is a leader in the treatment and research of neurological diseases for 40 years. Prior to being commercial lead, Adam was part of their Digital Health team where he worked on next generation application of wearable and neurological tests. Holding a PhD in genomics, he also teaches management skills for data science and big data initiatives at Boston College.

Nitin Choudhary

VP, Consulting

IPM.ai

Nitin has 15+ years of experience working in consulting & analytics focused on pharma sales and marketing. He has worked extensively in Specialty,Oncology and Rare Disease. At IPM.ai, he is leveraging cutting edge Machine Learning and Artificial Intelligence to solve complex problems across pharma commercial deployment processes. He helps big as well as emerging pharma clients in designing and execution of strategic engagements leveraging integrated patient level data. Over the years, Nitin has continuously worked to enhance awareness around patient centric analytics leveraging integrated data in the marketplace through speaking engagements, client meetings, and publications.