GOING LIVE! TUESDAY 5TH JULY  

10AM ET

Holistic Workflow: The Novo Structure Based Design of Small Molecules

Alexander Hillisch, VP, Head of Computational Molecular Design, Bayer AG

11AM ET

Automating Drug Discovery for Faster Hit Identification and Better Leads
Dan Rines, Vice President, Technology Enablement Services, Strateos
Roy Tal, MS, Cofounder and Principal Scientist- Pharmacology & Data Science, RO5

12PM ET


FIRESIDE CHAT 

How AI and digital chemistry tools are enabling Recursion to accelerate and improve drug discovery and lead optimization

 Christos Nicolaou, Director - Digital Chemistry, Recursion Pharma

Featured Speakers for 2022

Jan Wenzel

Jan Wenzel

Preclinical Safety - Digital Toxicology

Sanofi R&D

Dr Alexander Hillisch

Dr Alexander Hillisch

Vice President and Head of Computational Molecular Design

Bayer AG

Dan Ormsby

Dan Ormsby

Senior Consultant

Dotmatics

Shameer Khader

Shameer Khader

Executive Director - Precision Medicine and Computational Biology

Sanofi

Daniel Rines

Daniel Rines

Vice President, Technology Enablement Services

Strateos

Roy Tal

Roy Tal

Cofounder and Principal Scientist- Pharmacology & Data Science

RO5

Christos Nicolaou

Christos Nicolaou

Director - Digital Chemistry

Recursion Pharma

Examining how AI is helping accelerate the efficiency and cost-effectiveness of drug discovery

 
All big players in the pharma industry are concerned with AI adoption, the tech has become a strategic priority, among other things and all leading players of the pharmaceutical industry will be moving towards "platform-based drug design" with specific focus on the emergence of comprehensive R&D and business infrastructure that enables end-to-end AI-driven drug development.

About 90% of large pharmaceutical firms-initiated AI projects in 2021, an increase in AI-based partnerships up 575% in six years. In addition, the Artificial intelligence in the drug discovery market is expected to gain market growth to USD $3932 million by 2029.

Pharma IQ Live: Utilizing AI in Drug Discovery will be focused on:
 
  • Technically integrating and apply AI algorithms to enhance trial design, improve patient selection and retention and achieve more precise pharmacovigilance studies.
  • Grasping how AI can fundamentally change the paradigm of clinical trial execution and identify key areas where AI can positively impact your drug development decision making.
  • Harnessing AI to extract maximum value to achieve regulatory success and accelerate novel therapeutic products to market
  • Assessing the strategic role AI is playing in the emerging “data-centric” model of innovation
  • Providing an increased understanding of AI mechanics with a focus on AI-driven tools and approaches
  • Improving decision-making through analysis of data sets to generate novel insights and identify novel drug candidates
  • Eliminating blind spots in research and generate insights from thousands of unrelated data sources

Who should attend?

Pharma IQ Live is designed for Heads / General Managers / Directors of 

image

Artificial Intelligence

image

Data

image

Drug Discovery

image

Discovery Informatics

image

Research and Development

image

Science & Technology

Who attends Pharma IQ Live online events

logo image logo image logo image logo image logo image logo image logo image logo image logo image logo imagelogo imagelogo image
image

Step 1: Register
Click on any of the register buttons on this page. Enter your information and secure your place

image

Step 2: Confirmation Email
This will be dispatched upon registration and will contain information like how to login

image

Step 3: Schedule Time
Mark the time in your calendar so you can be free of distractions to watch the presentations

image

Step 4: Watch the Event
Click the link in the confirmation email and prepare questions for our industry-leading speakers

Get Involved with Pharma IQ Live

For more information on how Pharma IQ is uniquely placed to help you shape and deliver your message to your target audience - contact us now!

Annie Hogan
Sponsorship Sales Manager