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Managing Immunogenicity Using Quantitative Systems Pharmacology

The Challenge of Immunogenicity in Biologics Drug Development Biologic drug development is a rapidly evolving sector in the biopharmaceutical industry. Biologically-based therapeutic drugs comprise monoclonal antibodies (MAbs), vaccines, recombinant hormones and proteins, antibody-drug conjugates, RNAi, antisense, blood factors, and other large molecules. Although the success of biologics has been demonstrated, there are inherent operational and … Continued

Immunogenicity Prediction and Dose Optimization using Clinically-Validated In Silico Modeling and Simulation

Biologic drug development is a rapidly evolving sector in the biopharmaceutical industry. Immunogenicity is an inherent challenge with this complex class of drugs. A quantitative systems pharmacology approach can be used to predict and better manage immunogenicity, and as a tool to guide clinical and regulatory decision-making in biologics drug development.

Model Firsts

By combining disparate data into coherent mechanistic models, quantitative systems pharmacology is becoming a key tool for picking the right dose for first-in-human trials and other early make-or-break decisions.

Certara’s Best of the Blog 2017

A selection of short essays from our blog, written to empower our customers with modeling and simulation (M&S) and regulatory writing solutions in order to help them solve the toughest drug development problems. Certara staff contributions range in topic from pharmacometrics to systems biology to the growing importance of regulatory writing and sharing clinical trial results.

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