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...
EU CTIS: Europe’s New Clinical Trial Information System Blog Post
The EU CTIS is now fully implemented, replacing EudraCT as the central hub for clinical trial submissions, approvals, and compliance under EU-CTR.
Measuring metabolites in index clinical DDI studies Blog Post
Jingjing Yu, MD, PhD Isabelle Ragueneau-Majlessi, MD, MS Iain Gardner, PhD 2025年2月7日 A key drug development safety consideration is whether the drug candidate will interact with co-medications. 薬物間相互作用...
QSP Modeling Platforms for Neuroscience Page
サターラの神経科学領域における創薬向けQSPモデルは、アルツハイマー病、パーキンソン病、精神病など、メカニズムに基づくモデルを提供しています。
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.
Standards for All: Controlling Your Metadata for Vendors, Study Sites, and Submission Datasets Blog Post
講演者Erin Erginer Director of Product, Certara's Pinnacle 21 Kristen Kelly Senior Principal CDISC Consultant, Certara's Pinnacle 21 Learn more about Pinnacle 21 Achieve submission ready conformance with Pinnacle 21...
Inflammatory Bowel Syndrome (IBD) Platform Page
サターラの炎症性腸疾患（IBD）QSPプラットフォームモデルは、疾患活動性スコアを予測するための力学的な多状態数理モデルに基づいています。
Immuno-oncology Simulator™ Page
サターラのがん免疫療法向けQSPモデリングプラットフォームは、IO療法における仮想患者の最適な組み合わせ、投与レジメン、バイオマーカーを予測します。
