2nd AI-ML Clinical Development Summit (description)


Address:401-403 D Street Boston, Massachusetts, United States of America 02210
Event dates:9/18/2019 - 9/19/2019 (This event has already taken place)
Event web site:
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Topics to be Covered:

  • Bin Li, Director of Computational Biology, Takeda
  • Ed Addison, CEO, Cloud Pharmaceuticals
  • George Lee, Digital Pathology Informatics Lead and Data Scientist, Bristol-Myers Squibb
  • Ameya Phadke, Digital Health and Technology Transactions Lead, Chiesi Pharmaceuticals
  • Israel Gutierrez, VP Pharmacovigilance and Drug Safety, Geron Pharmaceuticals
  • Leonardo Rodrigues, Senior Director, AI and Machine Learning, Berg
  • Peter V. Henstock, AI strategy and Machine Learning Technical Lead, Pfizer
  • Rasmus Hogreffe, Head of Virtual Clinical Trials, Pfizer
  • Kyle Holen, Head, Development Design Center, AbbVie
  • Qasim Bukhari, Postdoctoral Research Associate, Massachusetts Institute of Technology
  • Basker Gummadi, Director Technology and Innovation, Celgene
  • Hari Singhal, Lead Data Scientist, Roche
  • Ahmed Abdeen Hamed, Senior Applied Computer Scientist and Quantum Computing Lead, Merck
  • X'avia Chan, Clinical Research Associate, Stanford University
  • Gregoire Versmee, Senior Manager, Medical Informatics, Pfizer
  • Dipen Sangurdekar, Director of Data Science, Bluebird Bio
  • Mark Michalski, Executive Director, MGH and BWH Center for Clinical Data Science
  • Omar Aimer, Pharmacovigilance and Drug Safety Specialist, Brunel-Sanofi
  • Engineering and Technology
  • Artificial Intelligence (AI)
Organizer phone:16174554188
Offering type:Conference
Specialty:Data not provided
Event frequency:Never
First Meeting:
Total events:
Est. attendance:
Target audience:Any
Other target audiences:
Host Sponsor:Hanson Wade
Est. # of exhibitors:
Currency:US Dollars
Language:Data not provided
CE Credits:
Organizer URL


Designed with leading AI and R and D experts and containing real world use cases of AI in action, this year's AI-ML: Clinical Development Summit tackles both the critical scientific and technical challenges, as well as identifying opportunities, of implementing AI and machine learning (ML) to optimize your clinical development.

This is a critical time for drug developers to make more data-driven decisions that lead to improved efficacy, safety and approval outcomes. Only here you will learn when, strategically, it is the right time to invest and apply AI to transform your clinical trial success.

Join AI, data, clinical development and pharmacovigilance experts across large pharma and biotech to discover how to technically integrate and apply AI algorithms to enhance trial design, improve patient selection and retention and achieve more precise pharmacovigilance studies.

Grasp how AI will fundamentally change the paradigm of clinical trial execution and identify key areas where AI can positively impact your drug development decision making.


08:30 to 15:30

Registration Fee Details:

Pharma and Biotech Drug Developer Pricing Full Conference: USD 2399.0,
Academic Full Conference: USD 1400.0

Other items that tuition includes:

Travel and hotel arrangements:

Contact Person:Charlotte Harrison
Organizer State/Province: (Outside US)
Organizer CountryData not provided
Organizer Phone16174554188
Structural makeupData not provided
Host Sponsor; Other SponsorsHanson Wade
Event Site/VenueAloft Boston Seaport District
Event sold out?No
Multiple locations or dates?No
Statistics available for most recent event held in:NA
Average number in event attendance of:
Number in attendance of:
Target BoundariesInternational
Is Registration contact information the same as Organizer Contact above?Yes
Web Page
Can one register for your CE on your web site?NA
Can registration be made by snail (regular) mail?Yes
Online housing reservations: 
Do you have additional written or AV materials for sale?No
If so, are they available for non-attendees as well as those attending?NA
Is full tuition necessary to ensure registration?No
Will there be shuttle service available?NA
Additional notes:


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