A Comprehensive Physiologically Based Pharmacokinetic Framework of Ofloxacin: Predicting Disposition in Renal Impairment. [PDF]
Zamir A +5 more
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PBBM Considerations for Base Models, Model Validation, and Application Steps: Workshop Summary Report. [PDF]
Heimbach T +40 more
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Machine learning to predict food effects during drug development: a comprehensive review. [PDF]
Shah A, Bi F, Yang J.
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Using a PBPK Model Incorporating Lymphatic Absorption to Predict Food Effect, Multiple Dosing, and Hepatic Impairment of Cannabidiol. [PDF]
Qian L, Zhou Z.
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<i>In vitro</i> and <i>in vivo</i> correlation of injectable lipid-based nanomedicines: From dissolution to protein coronas. [PDF]
Wang H, Wu X, Wang J, Wang X, Lu Y.
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Physiologically Based Pharmacokinetic Modeling for Predicting Drug Levels After Bariatric Surgery: Vardenafil Exposure Before vs. After Gastric Sleeve/Bypass. [PDF]
Porat D, Dukhno O, Cvijić S, Dahan A.
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Development of in vitro-in vivo correlation for establishing patient-centric quality standards of dissolution for lamotrigine extended-release tablets. [PDF]
Zidan A +5 more
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This workshop report summarizes the proceedings of Day 2 of a three-day workshop on "Current State and Future Expectations of Translational Modeling Strategies toSupportDrug Product Development, Manufacturing Changes and Controls". From a drug product quality perspective, physiologically based biopharmaceutics modeling (PBBM) is a tool to link ...
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Physiologically based biopharmaceutics modeling (PBBM) emphasizes the integration of physicochemical properties of drug substance and formulation characteristics with system physiological parameters to predict the absorption and pharmacokinetics (PK) of a drug product.
Di Wu, Min Li
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Systemic exposure of inhaled drugs is used to estimate the local lung exposure and assess systemic side effects for drugs with local pharmacological targets. Predicting systemic exposure is therefore central for successful development of drugs intended to be inhaled.
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