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ASCPT Members-Only Webinar Presented by the Oncology (ONC) and Pharmacometrics & Pharmacokinetics (PMK) Communities
: A Semi-Mechanistic PK/PD Model to Project Undetectable Minimal Residual Disease Rates in Chronic Lymphocytic Leukemia Studies
Date and Time
: Tuesday, May 11, 2021, 12:00 pm EST
: Sathej Gopalakrishnan, PhD, and Ahmed H. Salem, PhD
: Deanna Brackman, PhD, and Neeraj Gupta, PhD
Description: Understanding the kinetics of minimal residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important aspect during the development of fixed duration targeted therapies. This webinar will introduce the clinical implications of MRD for the treatment of CLL and will include broader discussions on both MRD as an endpoint in hematological malignancies as well as the PK/PD modeling concepts utilized.
Additionally, the presenters will speak about the objective to develop, qualify, and utilize a semi-mechanistic PK/PD model to evaluate the impact of venetoclax-rituximab combination therapy on the kinetics of MRD in CLL patients. Such fit-for-purpose models have great potential in assisting clinical development of targeted therapies in hematologic oncology. Attend the session to learn more about the development of the model and how the findings and concepts provide the framework for applying similar models to drug development in all hematological malignancies and would provide substantial impact, especially on the topic of predicting sustained response that may allow for fixed duration therapies.
ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Early Career (EC) Communities
Title: Introduction of Deep Learning in Drug Discovery and Development, Part 2: Artificial Neural Networks (ANNs)
Date and Time: Friday, May 14, 2021, 1:00 pm EST
Speakers: Patrick Lang and Jagdeep Podichetty, PhD
Moderator: Sakshi Sardar, PhD
Description: Artificial Neural Networks (ANNs) are algorithms that are inspired by the biological neural networks present in our brains. They consist of neurons grouped into input layers, hidden layers, and output layers. These networks take in raw data and learn to perform tasks over many iterations. In this webinar, we will build off Part 1 of the Introduction to Deep Learning in Drug Discovery and Development series, diving deeper into the framework for an ANN model. More specifically, we will go over the workflow of building an ANN and the steps involved. This webinar will also discuss evaluating model performance and optimization. Finally, we will showcase an ANN model built from scratch to identify handwritten digits.
ASCPT Pharmacometrics & Pharmacokinetics (PMK) Community Members-Only Webinar
Title: Marrying Real-World Data and Modeling: A Case of Interdisciplinary MIDD to Address Changes of Bone Mineral Density in Premenopausal Women
Date and Time: Monday, May 24, 2021, 2:00 pm EST
Speaker: Mohamad Shebley, PhD
Moderators: Neeraj Gupta, PhD, and Akshanth Polepally, PhD
Description: This webinar will introduce the concept of interdisciplinary model-informed drug development (i-MIDD) in a real drug development setting. The presented work will describe how real-world data (RWD) could be linked to traditional pharmaco-statistical modeling to bridge understanding of long-term bone safety in premenopausal women. The work will highlight how the RWD could be extended to epidemiological modeling for evaluating clinical relevance of the projected changes in bone mineral density (BMD) in relation to future risk of bone fractures. For additional information, please click the registration link below.
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
2020: Quantitative Pharmacology Influence & Impact (with speaker notes)
- 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
- QP Network Leaders: Sandra Visser, PhD, and Sriram Krishnaswami, PhD
- Influence & impact Initiative Leaders: Aline Barth, PhD, and Akshanth Polepally, PhD