August 25-26, 2022
Online Livestream
AI & Machine Learning for Drug Development

Broader adoption of AI techniques can significantly speed up your drug pipeline development – if you
have the foresight and skill to choose the right systems and suppliers. A report by Accenture
estimates that by the year 2026, big data in conjunction with machine learning and artificial
intelligence will annually generate over $150 billion for the life science sector.
At DGE’s Artificial Intelligence and Machine Learning Drug Development Virtual Conference on
August 25-26, 2022 you will hear first hand how AI and ML can accelerate drug design, target
identification, lead optimization and early safety assessments. Our faculty of experts help you
understand the greatest obstacles to success and the skills that your teams must have to turn AI from
proof-of-concept into a market-leading reality.
Who Should Attend

This conference is designed for pharmaceutical, biotech, and medical device professionals responsible for:

  • Artificial Intelligence
  • Machine Learning
  • Research and Development
  • Real-World Data and Evidence
  • IT Strategy
  • Information Systems
  • Big Data Solutions
  • Data Sciences
  • Data Management and Analytics
  • Data Storage
  • Drug Research
  • Drug Discovery and Development
  • Drug Delivery Innovation
  • Digital Health
  • Digital Innovative Strategic Planning
  • Translational Informatics
  • Bio-informatics and Technology
  • Scientific Computing
  • Computational Screening
  • Enterprise Architecture
  • Genomics
  • Predictive Analytics
  • Pre-Clinical
  • Medical Imaging
  • Biomedicals
  • Cognitive Computing
  • Regulatory and Pharmacovigilance
  • Multi-Channel Management
  • Contract Service Providers
Top Reasons to Attend
  • Implement proven AI and ML approaches to accelerate timelines and allow for faster data
  • gathering
  • Integrate effective technologies into design to omit the slowdown of your action items
  • Ensure process improvements using novel methods to reduce workload and cost efficiencies
  • Establish effective vendor management procedures
  • Discuss lessons learn and difficulties in post COVID AI growth
Event Sponsors
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Event Association Partners
Event Partners
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