ArticleBioengineering & translational medicine2023
Prediction of drug permeation through microneedled skin by machine learning.
Article in Bioengineering & translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Microneedle-mediated intelligent combination delivery for hair regeneration: A comprehensive review of technologies, mechanistic evidence, and translational prospects.Materials today. Bio · 2026Review
- Comparative analysis of supervised machine learning algorithms for transdermal drug delivery in brain disorders.Journal of computer-aided molecular design · 2026Article
- Engineering skin microphysiological systems for transdermal drug screening based on strategic model selection and quantitative prediction roadmaps.Materials today. Bio · 2026Review
- Curcumin-loaded nanocarriers for dermatological applications: current advances and biomedical implications.EXCLI journal · 2026Review
- Transdermal Drug Delivery Systems: A Comprehensive Review of Mechanisms, Technologies, and Clinical Applications.Pharmaceutical research · 2025Review
- Applications of flexible materials in health management assisted by machine learning.RSC advances · 2025Review
- Evaluation of Drug Permeation Enhancement by Using In Vitro and Ex Vivo Models.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Synergistic Strategies of Biomolecular Transport Technologies in Transdermal Healthcare Systems.Advanced healthcare materials · 2024Review
- Machine Learning Assists in the Design and Application of Microneedles.Biomimetics (Basel, Switzerland) · 2024Review
- Predictive modeling of skin permeability for molecules: Investigating FDA-approved drug permeability with various AI algorithms.PLOS digital health · 2024Article
- Prediction of drug permeation through microneedled skin by machine learning.Bioengineering & translational medicine · 2023Article
- Advanced technologies for biomedical applications by emerging researchers in Asia-Pacific.Bioengineering & translational medicine · 2023Article
- Modeling Polymeric Drug Release: The Emerging Role of Machine Learning.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stratum corneum is the outermost layer of the skin preventing external substances from entering human body. Microneedles (MNs) are sharp protrusions of a few hundred microns in length, which can penetrate the stratum corneum to facilitate drug permeation through skin. To determine the amount of drug delivered through skin, in vitro drug permeation testing is commonly used, but the testing is costly and time-consuming. To address this issue, machine learning methods were employed to predict drug permeation through the skin, circumventing the need of conducting skin permeation experiments. By comparing the experimental data and simulated results, it was found extreme gradient boosting (XGBoost) was the best among the four simulation methods. It was also found that drug loading, permeation time, and MN surface area were critical parameters in the models. In conclusion, machine learning is useful to predict drug permeation profiles for MN-facilitated transdermal drug delivery.
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