ACCP Fundamentals Tutorial, Part 2: Machine Learning

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Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?


This is Part 2 of a 3-part webinar series. Attendees that complete all three components will be awarded a certificate of completion highlighting the skills you have obtained.

In addition to the one hour lecture, there will be a 30 minute Faculty on Focus event where Faculty Speakers will be available for Q&A from Attendees! This is a rare opportunity to get direct access to the Faculty Speakers to get in-depth answers and clarification on the topics discussed during the webinar. The Fundamentals Tutorials - Clinical Applications Webinar Series provides a clinical pharmacology focused program which is relevant at every stage of your career! 

Target Audience: Professionals in academic, pharmaceutical/private sector and regulatory settings involved in drug disposition and/or development. In addition, Students of graduate and professional doctorate programs.

Session Description: Artificial intelligence (AI) and machine learning (ML) techniques are transforming nearly every sector of our life and the economy, including health care. Artificial intelligence and ML is transforming the way we approach drug discovery, design clinical trials, recommend more personalized treatments and make medications safer. Furthermore, healthcare data are often available to payers and health care systems in real time, but are massive, high dimensional and complex. This presentation gives an overview of basic ML concepts and provides an introduction to a few commonly used ML techniques and their practical applications in pharmaceutical outcomes research. This presentation will also outline and discuss the challenges/limitations and risks relating to the use of real-world data and ML methods.

Faculty Speaker:

  • Wei-Hsuan "Jenny" Lo-Ciganic, PhD, MS, MSPharm, Associate Professor, Pharmaceutical Outcomes & Policy Ctr for Drug Evaluation & Safety, Univ of Florida Coll of Pharmacy 

CE will not be offered for this webinar.

2/9/2022 2:00 PM - 3:30 PM
Eastern Standard Time
Live Virtual Event

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