About
Pharma and biotech companies must produce safe, efficacious medicines more efficiently than ever to optimize time-to-market and competitiveness. Both public and proprietary data hold valuable insights for impactful decision making. Data integration and common ontologies are needed if organizations are to tap the potential of this data by leveraging, machine learning (ML) and Artificial Intelligence (AI). In addition, companies need flexible workflows that support ad-hoc analytics, integrate internal and external data, and democratize the high-value models generated by their data science teams.

In this panel Case studies from Pfizer and Denovicon Theraputics will be followed by a discussion, with Dassault Systemes, on possible strategies to make this transformation and accelerate Drug Discovery.
When
Thursday November 5, 2020, starting at 3:00 PM GMT
Presenters
1602009844-d30f76ed4e62d772
Peter Henstock
ML and AI Technical Lead, Pfizer
1602008825-6b4d2173c0052c63
Scott Bembenek
Founder and CEO Denovicon Therapeutics
1602776502-936e4f2b626ad76c
Leo Bleicher
BIOVIA R&D Director Life Sciences Dassault Systèmes
1602004182-3a6e10d6560f1b28
Zahid Tharia
Director, Open Pharma Research
Reserve Your Spot
First Name*
Last Name*
Email Address*
Job Title*
Company*
Country*
Privacy and Data Policy
Open Pharma Research Ltd will use the information you provide on this form to enable access to Lab of the Future; Digital Dialogue live events and provide information on Lab of the Future Congress. Your contact information will also be shared with the individual Digital Dialogue event sponsor, who may wish to contact you for follow up discussions or marketing purposes. We will not share your contact details with anyone else nor sell your personal information. You can unsubscribe anytime by clicking the unsubscribe link in the footer of our emails, or by replying to our emails and asking to be unsubscribed.
Yes, I consent*
We use BigMarker as our webinar platform. By clicking Register, you acknowledge that the information you provide will be transferred to BigMarker processing in accordance with their Terms of Service and Privacy Policy.