Translational Clinical Pharmacology

Symposium 2: Facilitating Drug Discovery & Development Using Artificial Intelligence/Machine Learning, An ACCP & ASPET Joint Symposium

Co-Chair & Faculty(s)

• 

  Robert Bies, PhD

  Professor
  Pharmaceutical Sciences
  Univ of Buffalo School of Pharmacy & Pharmaceutical Sciences

  Slides
• 

  Ross Corriden, PhD

  Director, Inflammation Discovery Biology
  Biology
  RAPT Therapeutics Inc

Faculty(s)

• 

  Lisa Benincosa, PhD

  Senior Vice President
  Clinical Pharmacology Strategy
  Allucent Clinical Research Organization
• 

  Weifeng Tang, PhD

  Executive Director
  Clinical Pharmacology & Pharmacometrics
  AstraZeneca plc

Target Audience:

Description:

Artificial Intelligence (AI) and Machine Learning (ML) are poised to be transformational technologies in clinical pharmacology, enabling researchers to utilize real-world data to better inform key decisions at multiple stages of the drug discovery and development process. This session will cover a range of topics, providing an overview of how AI/ML can be used in clinical and translational pharmacology to (1) facilitate reverse translational efforts/target discovery using existing data sets; (2) make dose recommendations and predict drug interactions and adverse reactions; and (3) and to optimize the exposure, safety and efficacy of drugs. By covering practical examples of how AI/ML can be applied, this session will provide a thought-provoking overview of the utility of these technologies in the field of clinical pharmacology.

Goals & Objectives:

Following the completion of this activity, the learner will be able to:

• Identify when AI/ML can be used to help support target identification using clinical data;
• Describe how AI/ML can be used to identify potential adverse reactions/interactions and to optimize the exposure, safety and efficacy of drugs.

Presentations:

• Introductory Remarks
  

  Co-Chair & Faculty: Robert Bies, PhD – Univ of Buffalo School of Pharmacy & Pharmaceutical Sciences

  Co-Chair & Faculty: Ross Corriden, PhD – RAPT Therapeutics Inc
• Application of Machine Learning in Translational Medicine: Current Status & Future Opportunities
  

  Faculty: Lisa Jo Benincosa, PhD – Allucent Clinical Research Organization
• Perspectives on Artificial Intelligence/Machine Learning in Pharmacometrics
  

  Co-Chair & Faculty: Robert Bies, PhD – Univ of Buffalo School of Pharmacy & Pharmaceutical Sciences
• The Potential & Pitfalls of Artificial Intelligence in Clinical Pharmacology
  

  Faculty: Weifeng Tang, PhD – AstraZeneca plc
• Discussion, Questions & Answers, Learner Feedback & Evaluations