Banner of AI in Clinical R&D Summit, Tagline, Maximize the Potentialof AI and Machine Learning in Clinical Research and Development to Reduce Costs, Expedite Processes and Optimize Quality

At the AI in R&D Summit, we will be gathering dedicated leaders across the globe to share experiences and the latest AI and Machine Learning techniques to increase the effectiveness in risk-based quality management, improve patient recruitment and engagement, enhance patient monitoring and safety, improve site selection, and better overall study quality and operational efficiencies – and that’s just the tip of the iceberg.

AI and Machine Learning strategies are redefining the clinical development cycle like never before. As the industry leaps into new frontiers, digital transformation is leading the way to incredible advancements that will revolutionize the space forever. At this event, you have the unique opportunity to hear from other industry colleagues about how AI and ML offer the potential to improve the success and efficiency of clinical research, increasing its positive impact on all stakeholders.

Session Highlights

Expert Panel: Digital Transformation in Clinical Trials

Stephen Lutsch

Stephen Lutsch

Director, Head of Revolutionize
Clinical Trials

LEO PHARMA

Jen Yip

Jen Yip

Associate Director, Digital Medical CapabilitiesAssociate Director,
Digital Medical Capabilities
NOVARTIS
Zhaoling Meng

Zhaoling Meng

AVP, Global Head Clinical Modeling
and Evidence Integration,
Digital and Data Sciences

SANOFI

Keynote Presentation: Reducing time to market

Shameer Khader, PhD, MPH

Shameer Khader, PhD, MPH

Executive Director, Precision Medicine and Computational Biology

SANOFI

AI – Powered Insights

Shams Zaman

Shams Zaman

Director, Global Biometrics
and Data Sciences

BMS

Artificial Intelligence: History and Future

Curren Katz

Curren Katz

Senior Director, Data Science

JOHNSON AND JOHNSON

Top Reasons to Purchase

Reason One to Attend

Utilize Artificial Intelligence (AI) technology, combined with Big Data, to solve key clinical trial challenges

Reason Two to Attend

Harness the power of Artificial Intelligence and Machine learning to transform how clinical trials are conceived, designed, and conducted

Reason Three to Attend

Learn how AI/ML strategies help ensure data integrity to meet safety and efficacy standards and pass regulatory review

Reason Four to Attend

Understand the role of machine learning in clinical research to help improve the success, patient-centeredness, and efficiency of clinical trials

Reason Five to Attend

Applying artificial Intelligence to reduce clinical trial cycle times while improving the costs of productivity and outcomes of clinical development

Speaking Faculty

Matt Austin
Matt Austin
Executive Director | Head of Data Science | Center for Design and Analysis

AMGEN

Curren Katz
Curren Katz
Senior Director, Data Science

JOHNSON AND JOHNSON

Shameer Khader, PhD, MPH
Shameer Khader, PhD, MPH
Executive Director, Precision Medicine and Computational Biology

SANOFI

Stephen Lutsch
Stephen Lutsch
Director, Head of Revolutionize Clinical Trials

LEO PHARMA

Zhaoling Meng
Zhaoling Meng
AVP, Global Head Clinical Modeling and Evidence Integration, Digital and Data Sciences

SANOFI

Nirav Shah
Nirav Shah

Director – Real-world Advanced Analytics and Data Science
Business Insights and Analytics – R&D
BMS

Jen Yip
Jen Yip
Associate Director, Digital Medical CapabilitiesAssociate Director, Digital Medical Capabilities

NOVARTIS

Who Should Purchase

This event is developed for professionals from pharmaceutical, biotechnology and medical device companies, CROs, academia, clinical service and technology providers who have responsibilities in any the following areas:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Drug Development
  • Research & Development (R&D)
  • Clinical Trials, Design and Development
  • Data Science
  • Data Management
  • Strategic Data
  • Regulatory Affairs
  • Pharmacovigilance
  • Clinical Operations
  • Patient Recruitment