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From Algorithm to Clinical Application – The Future of AI in Healthcare

14 Nov 2019
Information for our guests:

Date Thu, 14-Nov-2019
Start 08:00
End 09:30
Venue ACCJ Tokyo Office
Address Masonic 39 MT Bldg. 10F, 2-4-5, Azabudai, Minato-ku, Tokyo 106-0041
Guests Fee (Yen) 3,000
Speaker(s) Len Usvyat (Vice President Applied Advanced Analytics, Global Medical Office, Fresenius Medical Care).
Registration Deadline Mon, 11-Nov-2019 12:00

Event Overview:

The transformative power of artificial intelligence (AI) is being felt across many industries. In healthcare, AI is likely to be at the center of solving what is often referred to as the “iron triangle”—access, affordability, and effectiveness—and its impact promises to be truly life changing.

On the morning of November 14, we will be joined by Len Usvyat, Vice President of Applied Advanced Analytics at Fresenius Medical Care, in a discussion on the opportunities and challenges of the broader utilization of AI and machine learning in healthcare. Usvyat, an expert in traditional and
advanced data analytics and research, will explore recent trends and share real case studies that show the implications of new AI applications for patients and healthcare systems.

This is a must attend event for anyone working in the healthcare sector!

About the Speaker
Len Usvyat is Vice President of Applied Advanced Analytics with Fresenius Medical Care’s Global Medical Office. He holds a master’s degree from the University of Pennsylvania and a PhD from Maastricht University, in the Netherlands. With more than 15 years of experience in traditional and advanced data analytics, research, and epidemiology, he is responsible for supporting analytical efforts for Fresenius’s integrated care assets, such as its pharmacy, vascular care centers, urgent care facilities, and the Fresenius health plan.

Globally, Usvyat is responsible for connecting various advanced analytics partners inside and outside Fresenius Medical Care to the Medical Office Clinical Agenda and building out FMC’s capabilities in applied advanced
analytics endeavors. These efforts vary and include activities such as AI-based data driven efforts, routine and custom reporting, predictive modeling, outcomes analysis, and research. He has published more than 60 manuscripts in peer-reviewed journals.

Information source: http://www.accj.or.jp/accj-events
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