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ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) Community
: 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
: Jin Y. Jin, PhD, and James Lu, PhD
: 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:
ASCPT Members-Only Webinar presented by the Transformational Informatics (TI) Community
- 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.
: Modeling COVID-19: Moving from Public Health to Personalized Health
Date and Time
: Friday, November 6, 2020, 12:00 pm ET
: Michael Liebman, PhD
: Caitrin McDonough, PhD
Description: COVID-19 models have focused on forecasting the number of infections and death. The results vary greatly over both the course of the pandemic and among modeling groups. Even when forecasts are accurate, the models provide limited insights. Physicians’ decisions when treating the disease exemplify the complexities that decision-makers face. The patient’s journey from disease risk to symptoms, clinical signs, diagnosis, treatment, and outcome involves interfacing, directly or in-directly, with all members of the healthcare ecosystem. Each member has a unique perspective and prioritizes specific questions concerning steps on this path while few, if any, focus on prediction of population-based behaviors. This webinar will present a modeling approach that is complementary to that of public/population health by focusing on the complexities of real-world patients and real-world medicine. In this manner, the model identifies and provides a mechanism for addressing specific questions that arise in the clinic and have both direct and immediate application in personalized healthcare.
Registration Link: https://us02web.zoom.us/webinar/register/4216033169361/WN_MO8mkra0RrCriO1KuXDzFg
Please visit the Member-Exclusive Webinar Library to access recordings from past webinars.
Quantitative Pharmacology Network Hot Topics Initiative
One of the primary goals of the Quantitative Pharmacology Network is to enhance the educational opportunities for members. Help further the “Hot Topic” communications and raise awareness of new tools and methods developing in quantitative pharmacology, news and views relevant to the discipline, emerging challenges and opportunities, topics of active scientific debate, etc. Current Quantitative Pharmacology Hot Topic Commentaries:
Quantitative Pharmacology Influence & Impact Initiative
Under the visionary leadership of Anne C. Heatherington, PhD, the Influence & Impact Initiative was launched in 2017 to highlight the impact of Quantitative Pharmacology approaches in clinical pharmacology, translational science and therapeutics across the discovery, development, regulation and post-marketing applications.
A crowd-sourced compendium of impactful case-examples along with detailed speaker notes provided by the contributors to the Quantitative Pharmacology Network at the ASCPT 2017 Annual Meeting. This initiative was continued under the guidance of Sandra Visser, PhD, and Sriram Krishnaswami, PhD, with and a new set of case studies collected and released via an ASCPT webinar in June 2020.
The aim of the initiative was to create crowd-sourced compendium repositories of state-of-the-art quantitative pharmacology applications to increase awareness, advocacy for and education in applied Quantitative Pharmacology sciences. The case studies, speaker notes, and publications can be referenced below (NOTE: please use your member login to gain full access this section
2017: Quantitative Pharmacology Influence & Impact (with speaker notes)
- QP Network Leaders: Anne C. Heatherington, PhD, and Karthik Venkatakrishnan, PhD
- Influence & Impact Initiative Leaders: Sandra Visser, PhD, and Satyaprakash Nayak, PhD
- Getting Innovative Therapies Faster to Patients at the Right Dose: Impact of Quantitative Pharmacology Towards First Registration and Expanding Therapeutic Use.
- Transforming Translation Through Quantitative Pharmacology for High-Impact Decision Making in Drug Discovery and Development
2020: Quantitative Pharmacology Influence & Impact (with speaker notes)
- QP Network Leaders: Sandra Visser, PhD, and Sriram Krishnaswami, PhD
- Influence & impact Initiative Leaders: Aline Barth, PhD, and Akshanth Polepally, PhD