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ASCPT Pharmacometrics & Pharmacokinetcs (PMK) Community Members-Only Webinar
: Effective Visual Communication for Quantitative Scientists, 2-Part Series
Part 1 Date and Time
: Friday, January 15, 2021, 11:00 am ET
Part 2 Date and Time
: Friday, January 22, 2021, 11:00 am ET
: Mark Baillie, PharmD, Baldur Magnusson, PhD, Alison Margolskee, PhD, and Marc Vandemeulebroecke, PhD
: Neeraj Gupta, PhD
Description: Effective visual communication (EVC) is a core competency for all scientists who work with data, such as pharmacologists, pharmacometricians, statisticians, data scientists, etc. By using the right graphical principles, we can better understand data, highlight core insights, and influence decisions toward appropriate actions. Without them, we can mislead others and ourselves and pave the way to wrong conclusions and actions.
The aim of this 2-part webinar is to provide a deep dive into EVC for quantitative scientists through a series of case studies and exercises, focusing on the key principles of purpose, clarity, and message.
Format of the 2-part webinar:
Part 1 Recording: Available in Webinar Library
Part 2 Registration Link: https://us02web.zoom.us/webinar/register/6216040086160/WN_54ufx8UnRa6UWyRJTVtPeQ
ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Early Career (EC) Communities
- Part 1: Presenters will provide an overview of EVC principles and walk through case studies applying a structured approach to creating an effective visualization, and introduce hands-on examples for homework for Part 2
- Homework: Between Parts 1 and 2, participants are asked to apply the structured approach to improve a graph or to visualize a dataset and submit their work prior to Part 2 for discussion.
- Part 2: Facilitators will discuss hands-on examples (homework) introduced in Part 1 with EVC principles in mind. Some attendees may be invited to participate as panelists to discuss their approach. Attendees can participate by providing comments through chat functionality.
: Introduction of Deep Learning in Drug Discovery and Development
Date and Time
: Thursday, January 28, 2021, 4:00 pm ET
: Jagdeep Podichetty, PhD
: Daniela Conrado, PhD
Description: Deep Learning is a machine learning technique that uses multiple layers to extract information from raw data. Neural Networks, the algorithms used in Deep Learning, are used in everything from drug candidate identification to classification of a disease state through raw images. This webinar will give an overview of the Deep Learning landscape and highlight the application of deep learning in drug discovery and development. Additionally, this webinar will discuss the framework for artificial neural networks as well as their fundamental building blocks.
Registration Link: https://us02web.zoom.us/webinar/register/1016091735567/WN_aaNADgn8Th2Gm2TFW8t3bw
ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Regulatory Science (RS) Communities
: Clinical Pharmacology Considerations for Antibody Drug Conjugates
Date and Time
: Friday, January 29, 2021, 1:00 pm ET
: Krithika Arun Shetty, PhD
: Bilal AbuAsal, PhD, and Chunze Li, PhD
Description: Since 2000, ten Antibody Drug Conjugates (ADCs) have been approved by the US Food & Drug Administration all for oncology indications. Several other ADC products are in various stages of development. This presentation will provide an overview of the clinical pharmacology considerations in ADC development with a focus on the utility of PK-PD modeling and simulation in the ADC drug development process and in regulatory decision making. Summaries/case examples of population PK and E-R models that have been utilized in the regulatory review, approval and labeling of current ADCs will be discussed.
Registration Link: https://us02web.zoom.us/webinar/register/1616076355147/WN_beLmdFaISS-gsi4Be0UuTQ
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