Beyond the Lab: FDA’s Vision for Modeling a Future Without Animal Testing

Beyond the Lab: FDA’s Vision for Modeling a Future Without Animal Testing

The FDA has released a new roadmap outlining a path toward reducing—and ultimately replacing—animal studies in pharmaceutical development with new approach methodologies (NAMs), beginning with monoclonal antibodies.

Smarter Clinical Development: How to Use QSP to Maximize the Value of GLP-1 Agonists

Smarter Clinical Development: How to Use QSP to Maximize the Value of GLP-1 Agonists

Authors: Siler SQ
Software: DILIsym®

As the market for GLP-1 agonists expands, biotech companies face both immense opportunity and fierce competition. To stand out in this evolving landscape and enhance the likelihood of acquisition or out-licensing, early-stage companies must develop a strategic, data-driven clinical development plan.

Longitudinal Model-Based Meta-Analysis (MBMA) Comprehensive MonolixSuite Tutorial with Case Studies

Longitudinal Model-Based Meta-Analysis (MBMA) Comprehensive MonolixSuite Tutorial with Case Studies

Authors: Bracis C
Software: Monolix®

Model-based meta analysis (MBMA) informs key drug development decisions by integrating data, published or unpublished, from multiple studies.

DDI Risk Assessment to Inform Your Label Optimize Your Program Timeline & Budget with PBPK Modeling

DDI Risk Assessment to Inform Your Label Optimize Your Program Timeline & Budget with PBPK Modeling

Software: GastroPlus®

Every day, scientists in the pharmaceutical industry are tasked with meeting regulatory expectations while also minimizing budget spend by identifying efficiencies for faster development of safer, more effective drugs.

De-Risking Clinical Hepatotoxicity in Early Drug Discovery

De-Risking Clinical Hepatotoxicity in Early Drug Discovery

Hepatotoxicity due to drugs and other xenobiotics, also known as drug-induced liver injury (DILI), is a primary reason for 1) the termination of drug development programs, 2) the delay of approving otherwise efficacious drugs by requiring large and expensive safety-focused clinical trials, 3) the restriction on the clinical use of approved drugs by the inclusion of black box warnings, and 4) the removal of approved drugs from the market.

Ocular Drug Discovery & Development: How Modeling & Simulation is Driving and Optimizing Complex Formulations

Ocular Drug Discovery & Development: How Modeling & Simulation is Driving and Optimizing Complex Formulations

Software: GastroPlus®
Division: PBPK

The development of ophthalmic drug products is challenging due to the complexity of the ocular system, the lack of sensitive testing to evaluate the interplay of its physiology with ophthalmic drugs, and measurement limitations associated with ocular pharmacokinetics.

AI for Pharmacological Modeling

AI for Pharmacological Modeling

Authors: Lu J, Sun T

Pharmacological modeling plays a key role in drug development by guiding decisions on dosing to optimize safety and efficacy and ultimately streamlining the path to successful therapeutic interventions.