Quantitative Systems Toxicology (QST)

Quantitative Systems Toxicology

Integrating In Vitro and In Vivo Toxicity Data with Computational Modeling to Achieve a Pathway-based Approach to More Efficient Chemical Risk Assessment A major challenge in developing efficacious and safe drugs is the ability to understand and effectively predict adverse effects of xenobiotic substances on extremely complex biological systems early in the drug discovery process. […]

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Drug Development Gap Analysis

Setting the Right Strategy As drug development has become more complex, with a higher risk of failure, greater uncertainty, and increased expense, the need for a quantitative and regulatory science-based strategy becomes clear. The first step in that performing that strategic assessment is a gap analysis and roadmap. Certara’s solution evaluates the 40 different questions […]

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Quantitative Solutions

QuantitativeSolutions.net has moved to Certara.com Certara has acquired Quantitative Solutions, a global pharmacometrics consulting company headquartered in Menlo Park, California. This merger further strengthens Certara’s position in the burgeoning modeling and simulation/pharmacometric services field, broadening its modeling capabilities, deepening its therapeutic areas of expertise and adding new value-added services and clinical outcomes databases. The resulting organization is called Certara Strategic […]

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Clinical Outcomes Databases for Specific Therapeutic Areas

About our Clinical Trial Outcomes Databases Our Clinical Trial Outcomes Databases form a quantitative framework to leverage valuable external data, providing key development insights to maximize the probability of success for a new drug. Comparative effectiveness Endpoint and subpopulation relationships Biomarker efficacy and safety outcome Trial design optimization Competitive analysis and commercial viability Gathering, formatting, […]

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Quantitative Systems Pharmacology

Quantitative Systems Pharmacology (QSP): Integrating Quantitative Drug Data with Knowledge of Its Mechanism of Action One of the biggest challenges—and, hence, the biggest opportunity for QSP—is drug attrition in Phase 2 clinical trials. Investigational medicines are usually tested for the first time in patients in Phase 2 clinical trials. This is the point when many […]

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Clinical Trial Outcomes Databases

Clinical Trial Outcomes Databases Quantify Your Competitive Edge Along the development path of a compound, sponsors make critical decisions to ensure drug approval and market success. Success depends not only on the drug’s performance, but also on the competitive landscape, requiring reliable assessments—now and for the future—of your competition. Gain Faster Time to Insight What […]

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Model-based Meta-analysis

An Innovative Strategy to Make Better Use of Available Data The difference between getting a new medication to patients, and it ending up in the scrap heap of failed programs lies in making the right choices. There is a surfeit of publicly available information on approved drugs as well as those currently in development. How […]

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PK/PD Analysis

PK/PD Support for Drug Approvals Pharmacometrics: From “nice to have” to “must have” technology Model informed drug development and discovery—which includes both top-down pharmacokinetic/pharmacodynamic (PK/PD) modeling and bottom-up, mechanistic approaches―continues to profoundly impact drug development by informing key decisions and labeling. Key benefits of this approach include: Making data-driven decisions at all stages of drug […]

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Pharmacometrics Regulatory Strategy

Predictive Disease-Drug-Trial Modeling and Simulation A well-designed pharmacometrics regulatory strategy satisfies multiple goals. First, the strategy prioritizes the needs of the program and details when and how they will be met. Next, a strategic road map provides direction that ensures that studies and analyses will be fit-for-purpose and add value to the program. Finally, a […]

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