What does this research mean for the field?

Advancing skin physiologically based pharmacokinetic (PBPK) modeling requires optimizing parameter acquisition, broadening physiological databases for special populations, and integrating non-invasive imaging to transition these models into tools for individualized dosing and regulatory decision-making. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Review the current state of skin physiologically based pharmacokinetic (PBPK) modeling, evaluate available software platforms, and identify barriers to clinical and regulatory application.

September 10, 2026Drug DeliveryOpen Access

Skin physiologically based pharmacokinetic modeling: current research progress, software comparison, and future perspectives

View Full Paper

Ask AI

Bookmark

Authors

YLYafen LiCentral South University YLYuxiao LiCentral South University YLYa-xin LiuCentral South University

Discussion

Member takes

Implication

Review reveals structural inconsistencies and data gaps in skin pharmacokinetic models, highlighting the need for digital twin technology to guide individualized dosing.

Key Points

Review the current state of skin physiologically based pharmacokinetic (PBPK) modeling, evaluate available software platforms, and identify barriers to clinical and regulatory application.
Assessed existing skin PBPK models, including open-source platforms like PK-Sim, for dermal drug absorption and pediatric skin ontogeny.
Analyzed structural consistency, parameter acquisition approaches, and available physiological databases across special populations.
Identified significant limitations in current models, particularly inconsistent architectures, parameterization difficulties, and lacking data for pediatric, geriatric, and diseased skin.
Highlighted the emergence of non-invasive imaging and high-precision digital twin models to transform PBPK tools into reliable guides for personalized dosing and drug regulation.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a7f58559d80afc7315b https://doi.org/10.1080/10717544.2026.2726638

View Full Paper

Ask AI

Bookmark

Implication

Review reveals structural inconsistencies and data gaps in skin pharmacokinetic models, highlighting the need for digital twin technology to guide individualized dosing.

Skin physiologically based pharmacokinetic modeling: current research progress, software comparison, and future perspectives

Discussion

Member takes

Implication

Key Points

Cite This Study

Skin physiologically based pharmacokinetic modeling: current research progress, software comparison, and future perspectives

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider