From Target Identification to Novel Lead: How Multi-omics Analysis and AI-driven Drug Design Can Accelerate Early Drug Discovery

From Target Identification to Novel Lead: How Multi-omics Analysis and AI-driven Drug Design Can Accelerate Early Drug Discovery

Software: ADMET Predictor®
Division: PBPK

One of the key areas for optimization in the drug development process is the discovery stage. Traditional methods are time-consuming and often produce leads that ultimately fail.

Application of PBBM and virtual bioequivalence to support formulation development and define dissolution specification, two case studies

Application of PBBM and virtual bioequivalence to support formulation development and define dissolution specification, two case studies

Authors: Nabais E, Martins F
Software: GastroPlus®
Division: PBPK

During this webinar, we will shed light on the key benefits and practical implications of utilizing in-silico modeling for formulation development, biopharmaceutical predictions, and bioequivalence studies.

Better Together: AI/ML, PBPK and QSP/QST Modeling in Drug Discovery & Development

Better Together: AI/ML, PBPK and QSP/QST Modeling in Drug Discovery & Development

Software: DILIsym®, GastroPlus®

Modeling and simulation offer useful predictions that can help guide your drug development program—but what if you could get even more out of the available technology?

In silico modeling as a support tool in the development of new products in the generic pharmaceutical industry: case studies of the application of DDDPlus™ and GastroPlus® software

In silico modeling as a support tool in the development of new products in the generic pharmaceutical industry: case studies of the application of DDDPlus™ and GastroPlus® software

Division: PBPK

During this webinar, we will shed light on the key benefits and practical implications of utilizing in silico modeling for formulation optimization, biopharmaceutical predictions, and bioequivalence studies

Using AI-driven Drug Design to Shorten Your Drug Development Process

Using AI-driven Drug Design to Shorten Your Drug Development Process

Software: ADMET Predictor®
Division: PBPK

In this webinar, Dr. Jeremy Jones, Principal Scientist, will discuss how artificial intelligence (AI) can be used in the drug discovery and development process to identify viable candidate molecules and shorten time to market.

GastroPlus as an Educational Tool Teaching of Pharmacokinetics & Biopharmaceutics with PBPK Modeling

GastroPlus as an Educational Tool Teaching of Pharmacokinetics & Biopharmaceutics with PBPK Modeling

Software: GastroPlus®
Division: PBPK

Students have an increased interest in learning physiologically based pharmacokinetic (PBPK) modeling, but this requires an in-depth understanding of biopharmaceutics and pharmacokinetics.

Project Optimus –FDA’s “New” Dose Optimization & Selection Paradigm in Oncology Drug Development

Project Optimus –FDA’s “New” Dose Optimization & Selection Paradigm in Oncology Drug Development

Dr. Brian P. Booth and Dr. Hao Zhu from the Office of Clinical Pharmacology (OCP) at the FDA will present and discuss Project Optimus, an initiative from the Oncology Center of Excellence (OCE) to reform the dose optimization and dose selection paradigm in oncology drug development.

ADMET Predictor® 10.4 (APX.4) Release Webinar

ADMET Predictor® 10.4 (APX.4) Release Webinar

Authors: Miller D, Jamois E
Software: ADMET Predictor®
Division: PBPK

Eric Jamois, Director of Business Development, will host a webinar on Wednesday, May 18th to introduce the new ADMET Predictor® 10.4 (APX.4) flagship machine learning platform for ADMET modeling, with extended capabilities for data analysis, metabolism prediction, and AI-driven drug design. David Miller, VP of ADMET Cheminformatics will show some of the new features in APX.4.