Advanced Path: Clinical Translation

Learn to design Absorption, Distribution, Metabolism, and Excretion studies using organ-chip platforms. Understand how liver, intestine, and kidney chips work together to model drug pharmacokinetics and predict human PK parameters.

Deep dive into drug metabolism assessment with liver chips. Master CYP450 enzyme induction and inhibition studies, metabolite identification, and drug-drug interaction prediction using microphysiological systems.

Explore intestinal chip models for drug absorption studies. Learn about Papp measurements, efflux transporter assessment, food effects, and how gut chips outperform traditional Caco-2 assays for bioavailability prediction.

Master drug-induced liver injury (DILI) prediction with liver chips. Learn about hepatotoxicity mechanisms, biomarker panels (ALT, AST, miR-122), cholestatic vs hepatocellular injury, and how to achieve 87% predictive sensitivity.

Learn cardiac safety assessment beyond hERG. Understand the CiPA paradigm, multi-channel ion effects, contractility measurement, arrhythmia detection, and how cardiac chips enable mechanistic safety evaluation.

Evaluate kidney safety using proximal tubule chips. Learn nephrotoxicity mechanisms, KIM-1 and NGAL biomarkers, drug transporter interactions, and strategies for identifying drugs with renal liability early in development.

Navigate the FDA ISTAND (Innovative Science and Technology Approaches for New Drugs) program. Learn qualification vs fit-for-purpose approaches, documentation requirements, and strategies for achieving regulatory acceptance of NAMs.

Learn to prepare regulatory submissions incorporating NAMs data. Understand IND package requirements, nonclinical study reports, bridging strategies, and how to present organ-chip data to maximize regulatory acceptance.

Understand global regulatory frameworks for NAMs. Compare FDA, EMA, and PMDA approaches. Learn OECD test guideline development, ICH guidelines, and strategies for global regulatory acceptance of alternative methods.

Learn to integrate organ-chip data into physiologically-based pharmacokinetic (PBPK) models. Understand parameter estimation, model validation, and how to use PBPK-MPS integration for human PK prediction and dose selection.

Explore digital twin technology for patient simulation. Learn how to create virtual patient models combining organ-chip data, genetic information, and clinical parameters for personalized drug response prediction.

Apply machine learning to organ-chip data analysis. Learn image analysis for morphology endpoints, time-series analysis for functional data, and predictive modeling approaches for toxicity classification.

Master the science of translating organ-chip findings to clinical predictions. Learn IVIVC development, validation approaches, and how to establish confidence in NAMs-based predictions for regulatory decision-making.

Explore how patient-derived organoids and iPSC-chips enable personalized medicine. Learn clinical workflows for patient-specific drug testing, companion diagnostics development, and precision oncology applications.

Synthesize your learning with a vision of drug development in 2030 and beyond. Explore virtual clinical trials, body-on-chip systems, AI-integrated platforms, and the path to animal-free pharmaceutical development.