CRF Design Checklist Page
GUIDECase Report Form design checklist Create effective CRFs using our comprehensive design checklist Simple yet effective Case Report Forms (CRFs) are crucial to the success of a clinical trial. Quality...A Best Practice Guide to CRF Design Page
GUIDEA Best Practice Guide to CRF Design Design quality, effective and reusable case report forms with our CRF Design Guide In this best practice guide to CRF design, we’ll tackle...A quick guide to implementing a Clinical MDR Page
GUIDEA quick guide to implementing a Clinical MDR Learn the best practice approach to implementing a Clinical Metadata Repository A clinical metadata repository (Clinical MDR or CMDR) can help you...
Learn-confirm in model-informed drug development: Assessing an immunogenicity quantitative systems pharmacology platform Blog Post
Abstract Immunogenicity against therapeutic proteins frequently causes attrition owing to its potential impact on pharmacokinetics, pharmacodynamics, efficacy, and safety. Predicting immunogenicity is complex because of its multifactorial drivers, including compound...
Measuring metabolites in index clinical DDI studies Blog Post
Jingjing Yu, MD, PhD Isabelle Ragueneau-Majlessi, MD, MS Iain Gardner, PhD February 7, 2025 A key drug development safety consideration is whether the drug candidate will interact with co-medications. Drug-drug...
QSP Modeling Platforms for Neuroscience Page
Certara’s QSP models for neuroscience drug discovery offer mechanism-based models for Alzheimer’s, Parkinson’s, psychotic disorders, and more.
Machine Learning for Population PK Model Selection: Theory and Practice Blog Post
Three of Certara’s expert modelers provide a gentle introduction to machine learning in our field. They begin with a helpful analogy to orient you to model search spaces and methods for converging on the model type best suited to your data. From there, they discuss the benefits to research and clinical practice that an ML-driven approach can yield. Finally, our team illustrates some of the tools, like pyDarwin and Darwin in Pirana, that turn theory into a clear and learnable practice, including an intuitive GUI that makes getting started easy.
