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Physiologically based pharmacokinetic modeling is well established in the pharmaceutical industry and is accepted by regulatory agencies for the prediction of drug–drug interactions. However, physiologically based pharmacokinetic modeling is valuable to address a much wider range of pharmaceutical applications, and new regulatory impact is expected as its full power is leveraged. As one example, PBPK is already routinely used during drug discovery for in-vitro to in-vivo translation and pharmacokinetic modeling in preclinical species, and this leads to the application of verified models for first-in-human pharmacokinetic predictions.

This week’s available presentation is titled “Combining In-Vivo Animal Models with Physiologically Based Pharmacokinetics (PBPK) Modeling to Optimize Oral Formulation Dosage Forms” from Handan He / Tycho Haimbach at Novartis. This presentation overviews applications of PBPK absorption modeling tools. It also examines case examples of prediction on PPI effects, formulation dependent PBPK, food food effect predictions, comparison of IVIVC vs PBIVIVC and biorelevant permeability challenges, as well as overall recommendations.

2024 Controlled & Modified Drug Release Summit

(May 14-15, 2024, Princeton, NJ)

 

Interested to improve the performance of your drug products? Learn 2 years of new drug product development approaches at the 2024 Summit this coming May both in-person & virtual.

Join 160+ leading drug delivery, formulation and development experts and hear 30+ expert sessions. Gain over 2 years worth of new drug product development strategies, formulation approaches, delivery technologies and regulatory updates while decreasing drug product time-to-market in just 2 short days (all available on-demand)!

Save up-to 45% on attendance before Friday 29th September, 2023. Likewise, have a platform technology you would like to explore showcasing to the wider audience this May? Reach out below to find out remaining opportunities.

2021 On-Demand Summits Available for Purchase

(Limited time - Only $299)

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