The Certara Blog: Clinical Pharmacology Strategy

Using Simcyp-guided ADME Biomarker Discovery to Prospectively Identify Patients at High Risk of Drug Toxicity

As novel molecular targets are being continuously discovered and new treatments developed, oncology is one of the biggest therapeutic areas in precision medicine. In particular, new targeted anti-cancer medications that are taken orally, such as the protein kinase inhibitors (KIs), are ideal candidates for model-informed precision dosing (MIPD) technologies.1 One of these technologies is called physiologically-based […]

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Using Virtual Twin Technology to Predict Drug Exposure in Individual Patients

Using Virtual Twin™ Technology to Predict Drug Exposure in Individual Patients

Physiologically-based pharmacokinetics (PBPK) is a valuable resource to support decisions throughout drug development for sponsors and regulators. PBPK is used extensively to predict drug-drug interactions (DDIs), to inform dosing and clinical study design, to predict drug exposure, to predict variation in drug clearance, and to understand mechanisms of drug disposition. Virtual Twin technology, based on […]

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Using Virtual Twin Technology for Model-informed Precision Dosing

Using Virtual Twin™ Technology for Model-informed Precision Dosing

In a recent Expert Review of Clinical Pharmacology article, I assessed the status and future direction of precision dosing in clinical medicine.1 Model-informed precision dosing (MIPD) is a modeling and simulation (M&S) approach in healthcare that is used to predict the most effective and/or least toxic drug dose for a patient. MIPD could revolutionize healthcare […]

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Using M&S to Evaluate Oncology Drug Dosing

Using M&S to Evaluate Oncology Drug Dosing

There are numerous challenges in developing oncology drugs: (1) they are often very toxic which precludes conducting clinical trials in healthy volunteers, (2) the PK of a drug may be altered in cancer patients due to demographic and physiological differences as compared to healthy volunteers, and (3) cancer patients face elevated drug-drug interaction (DDI) risk […]

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