Author: [AUTHOR] Published on 9/17/2020 12:45:00 PM
ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) Community
Title: Powering Clinical Pharmacology Analytics into the Digital Age with Machine Learning and Artificial Intelligence
Date and Time: Friday, October 23, 2020, 2:00 pm ET
Speakers: Jin Y. Jin, PhD, and James Lu, PhD
Moderators: Neeraj Gupta, PhD, and Chunze Li, PhD
Description: As a result of the technological advancements that have taken place over the recent years, our digital world is now largely powered by Machine Learning (ML) and Artificial Intelligence (AI). In the field of Clinical Pharmacology, current analysis approaches entail applying well-established statistical concepts and numerical approximation techniques on top of the foundations of pharmacology. However, the recent growth in high dimensional biomedical data, is putting strains on the existing paradigm. Furthermore, the future needs of personalized medicine may involve performing analytics and generating insights on user devices with little human supervision. Given these trends, new ways to power data analytics in the digital age are needed – enter ML and AI. This special presentation will include:
Registration Link: https://us02web.zoom.us/webinar/register/WN_Hq1XjWsOQm2p_hQ37-ZMsg
- An overview of the data analyses that arise in the Clinical Pharmacology context and how ML/AI can be incorporated into the current paradigm to develop new tools, new methodologies and generate novel insights.
- How everyone can be empowered to utilize ML with an AutoML tool.
- Overviews of novel Clinical Pharmacology applications ranging from NCA analysis, model parameter estimation from data (eg, pop-PK/PD, QSP), and linking Tumor Growth Inhibition with Overall Survival (TGI-OS).
- Perceived limitations of ML/AI and suggested ways to get around them.
- Details on a case study involving a novel neural-PK/PD framework which combines the power of deep learning with the principles of PK/PD.