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Register by December 10, 2017 and Save up to $300!

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Healthcare &9642; Pharma &9642; Biotech

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December 11-12, 2017
Cambridge, MA

December 11-12, 2017 Royal Sonesta Boston Cambridge, MA

AI Applications Summit | Overview

A Glance at Who's Participating:

Amgen
Bain Capital Ventures
BERG
Beth Israel Deaconess Medical Center
Beyond Limits
Biogen
Boston Children’s Hospital
Carilion Clinic
Connecticut Innovations
Crohn’s & Colitis Foundation
Dana-Farber Cancer Institute
DoubleRock LLC
EMD Serono
Forrester
Geisinger Health System
GNS Healthcare
GSK
Harvard Medical School
Harvard TH Chan School of Public Health
IBM
IDC Health Insights
Innoplexus AG
Janssen Pharmaceuticals
KPMG LLP
McDermott, Will & Emery, LLP
MD Anderson Cancer Center
MedImmune
Merck & Co, Inc.
MGH & BWH Center for Clinical Data Science
Michael J Hennessy & Associates
New Ventures Funds
OneThree Biotech
Pfizer
Pharma AI
Qrativ
Sanofi
Schneider Institutes for Health Policy
Sutter Health
Takeda Pharmaceuticals
TechEmergence
Technomad
Tellic
UCB
University of California, San Francisco
University of Connecticut Health Center
University of Oxford
Vertex Pharmaceuticals
Viome

There is no shortage of opinions about the impact of AI technologies in healthcare, but there is a shortage of practical information about adopting these technologies in a health system or biopharma. If you're looking for real answers, you will find them at the AI Applications Summit — where speakers will share their experiences about how they’ve overcome obstacles and are realizing the opportunities of implementing AI technologies right now.

These are the top three questions that you’ll get answered from attending this event. If you have these questions, register now and save up to $600!

  • Is your organization prepared for the cultural shift AI will force in order to
    impact care delivery or drug discovery?
  • Are you trying to figure out how to overcome interoperability and determine
    what you can accomplish with the current generation of IT tools?
  • Do you have a best practice in place for vendor selection and partnerships?
    To be successful you can’t go it alone.

What People are Saying About AI Applications Summit:

There are at least two issues at the heart of enabling AI in healthcare today — data interoperability will allow the longitudinal data sets and massive data stores that are required for high quality, impactful clinical algorithms and consumerism will drive changes in clinical behaviors, payment, and drug discovery that cannot be managed with traditional technologies. The much-needed honest discussion of what is hype and what is possible — the challenges, failures, and successes of
these technologies — will be hotly debated at the AI Applications Summit in December.

Michael S. Blum, MD FACC, Associate Vice Chancellor for Informatics, Chief Digital Technology Officer, Director, Center for Digital Health Innovation;
Professor of Medicine, Cardiology, University of California, San Francisco

The AI Applications Summit addresses a critical industry need by bringing the two biggest sectors in the ecosystem together, pharma/biotech and hospitals/health systems, to discuss
the role of AI and related technologies at the intersection of technology and science.

Lynne Dunbrack, Research Vice President, IDC Health Insights

Currently, drug discovery is a blind search through chemical libraries, which is not that efficient. The AI Applications Summit is an important gathering of thought leaders to discuss better options, such as generative AI models, which can potentially speed up the drug discovery process by proposing a limited amount of high promising molecules instead of thousands with unknown activities and possibly increase the drug space (finding new drugs, a new mechanism of action, new chemistry).

Polina Mamoshina, Research Scientist, Pharma AI, a division of Insilico Medicine, Inc.;
Department of Computer Science, University of Oxford

Therapeutic interventions that you can use are where the rubber meets the road. If the results coming from data and its analysis are not actionable, then the data is not immediately useful. The fastest way to increase utility is through data sharing. Changing the culture to allow for sharing starts with discussions and debates like those that will take place at the AI Applications Summit in December.

John Quackenbush, Professor of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health
YOUR KEY POINTS OF CONTACT:

Delegate Registrations
Matt Hannon
CBI Events
339-298-2157
[email protected]

Speaker Invites & Submissions
Event Partner Opportunities

Debra Chipman
Corey Lane Partners
201-323-7178
[email protected]

Sponsor & Exhibitor Opportunities
Elizabeth Cutler
Corey Lane Partners
781-454-7742
[email protected]