Discuss advances made with PBPK modeling for both oral and non-oral routes for the first in human predictions

MIDD in Preclinical Drug Development
Providing a case for why you should focus on preclinical verification when using Physiologically Based Pharmacokinetic (PBPK) modeling for First-In-Human (F.I.H) pharmacokinetic predictions.

RENAsym, a QST Model to Predict Drug-Induced Kidney Injury
Drug-induced kidney injury or acute kidney injury (AKI) is one of the major reasons for drug failure behind cardiovascular and liver injuries

Mathematical Modeling in Industry: Building Models to Advance Drug Development
QSP models are designed to characterize biological systems, representing details such as disease pathophysiology, drug pharmacology, and pathways of toxicity

Pulmonary PBPK Modeling for Inhaled Products: Antibiotic Case Studies
What are we doing for inhaled products today?

Quantitative Systems Toxicology Modeling Using DILIsym Suggests That Drug-Induced Liver Injury (DILI) Can Be Enhanced by Co-administered Drugs and Mitigated by Mitochondrial Biogenesis
Drug-induced liver injury (DILI) can be enhanced by polypharmacy if co-administered drugs induce toxicity via mechanisms that have overlapping pathways.

Assessing the Potential for Hepatotoxicity for Combination Therapy of Valproate (VPA) and CBDusing Quantitative Systems Toxicology (QST) DILIsym Correctly Predicts CBD ALT Elevations and Evaluates Interaction Mechanism(s)
Epidiolex (highly purified CBD) is efficacious in treating seizures associated with Dravetsyndrome (DS), Lennox-Gastautsyndrome (LGS), and Tuberous Sclerosis Complex (TSC)

Quantitative Systems Toxicology (QST) to Investigate Mechanisms Contributing to Clinical Bilirubin Elevations
Some patients treated with Drug X experienced elevations in serum bilirubin with concomitant ALT elevations, potentially indicative of severe liver injury.

Quantitative systems toxicology (QST) to investigate mechanisms contributing to clinical bilirubin elevations
To be presented at the FDA/CDER and AASLD 2021 DILI Conference XVIII. Quantitative systems toxicology (QST) to investigate mechanisms contributing to clinical bilirubin elevations: Some patients treated with Drug X experienced clinically relevant elevations in serum bilirubin with concomitant ALT elevations, indicative of potentially severe liver injury (Hy’s Law cases). However, the interpretation is complicated if there is evidence that a compound directly alters bilirubin disposition, leading to bilirubin elevations absent liver injury. Distinguishing between these two possibilities is critical to inform drug development decisions. DILIsym, a QST platform of drug-induced liver injury (DILI), was used to investigate the interpretation of putative Drug X-related elevations in liver biomarkers.

Assessing the Potential for Hepatotoxicity for Combination Therapy of Valproate (VPA) and (CBD) using Quantitative Systems Toxicology (QST)
To be presented at the FDA/CDER and AASLD 2021 DILI Conference XVIII. Assessing the Potential for Hepatotoxicity for Combination Therapy of Valproate (VPA) and (CBD) using Quantitative Systems Toxicology (QST). We aimed to identify the mechanism(s) accounting for the higher incidence of ALT elevation observed in individuals treated with VPA and CBD by using a Quantitative Systems Toxicology (QST) model of hepatotoxicity (DILIsym®) to test the hypothesis that increased incidence of ALT elevation was due to VPA and CBD (or metabolites of each) inhibiting mitochondrial respiration.

The Future of Clinically Relevant Dissolution Testing and Physiologically Based Biopharmaceutics Modeling (PBBM/PBPK) in Drug Product Development, Manufacturing Changes and Controls
Regulatory applications of dissolution testing as per published FDA guidance...

OPCO Fireside Chat
Slides from the OPCO Fireside Chat

AAPS VCU Chapter Webinar
GastroPlus applications to various drug delivery routes of administration.

Novel Clinical Trial Designs for Optimizing Parameter Estimation in Malaria Disease-Drug Models
An introduction to Model-Informed Drug Development (MIDD) for Malaria and Volunteer Infection Studies (VIS)

Hepatotoxicity of Compound V Evaluated with Quantitative Systems Toxicology
Compound V is a small molecule with potential therapeutic benefits in patients with obesity.

Quantitative Systems Toxicology (QST) Modeling of Drug-Induced Liver Injury and Adaptation
This talk will present how quantitative systems toxicology (QST) modeling can aid in evaluating potential drug-drug interactions.