Fundamentals Tutorials - Machine Learning Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?-LIVE

Includes a Live Event on 02/09/2022 at 2:00 PM (EST)

Fundamentals Tutorials - Machine Learning Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?-LIVE

Live webinar: February 9, 2022 from 2:00 - 3:30 PM ET 

On-demand webinar recording: February 9, 2022 to February 9, 2025

Why is this article important to your practice? 

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.

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.

Weihsuan Jenny Lo-Ciganic, PhD

Associate Professor, Dept of Pharmaceutical Outcomes & Policy

Univ of Florida Coll of Pharmacy

Dr. Wei-Hsuan Jenny Lo-Ciganic is a pharmacoepidemiologist and Associate Professor in the Dept of Pharmaceutical Outcomes & Policy at the Univ of Florida Coll of Pharmacy. Her research agenda focuses on drug safety and addiction. Dr. Lo-Ciganic has extensive experience applying advanced predictive analytics including machine learning and trajectory modeling with large healthcare datasets. She conducts research to develop risk prediction algorithms and tools and practical intervention applications for use in real-world settings to improve health outcomes and patient care. 

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Fundamentals Tutorials - Machine Learning Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?
02/09/2022 at 2:00 PM (EST)   |  60 minutes
02/09/2022 at 2:00 PM (EST)   |  60 minutes
Fundamentals Tutorials - Machine Learning Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?- Post Test
4 Questions  |  1 attempt  |  0/4 points to pass
4 Questions  |  1 attempt  |  0/4 points to pass
Fundamentals Tutorials - Machine Learning Part 2: Can Machine Learning Improve Pharmaceutical Health Outcomes & Patient Care?- Evaluation
5 Questions