AIMC Topic: Skin Absorption
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Recent advances in cutaneous drug delivery by iontophoresis.
Expert opinion on drug delivery
Apr 13, 2025
INTRODUCTION: Iontophoresis has been extensively studied for topical and transdermal drug delivery to stimulate the absorption of molecules that would hardly pass through the outermost layer of the skin passively. Recent research has focused on its c...
Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides.
Regulatory toxicology and pharmacology : RTP
Mar 4, 2025
The skin is the main route of exposure to plant protection products for operators, workers, residents, and bystanders. Assessing dermal absorption is key for evaluating pesticide exposure. The initial approach to risk assessment involves using defaul...
Stratified quantitative analysis of the penetration of active ingredients in the skin by infrared spectroscopic imaging.
Talanta
Mar 1, 2025
A stratified quantitative analysis method for active ingredients in the skin was developed by integrating microscopic infrared spectroscopy, chemometrics, and machine learning. Hierarchical clustering of the stratum corneum, active epidermis, and der...
Exposure experiments and machine learning revealed that personal care products can significantly increase transdermal exposure of SVOCs from the environment.
Journal of hazardous materials
Jan 17, 2025
We investigated the impacts of personal care products (PCPs) on dermal exposure to semi-volatile organic compounds (SVOCs), including phthalates, organophosphate esters, polycyclic aromatic hydrocarbons (PAHs), ultraviolet filters, and p-phenylenedia...
Leveraging machine learning to predict drug permeation: impact of menthol and limonene as enhancers.
Molecular diversity
Dec 16, 2024
The present study aimed to develop robust machine learning (ML) models to predict the skin permeability of poorly water-soluble drugs in the presence of menthol and limonene as penetration enhancers (PEs). The ML models were also applied in virtual s...
Artificial intelligence-driven hydrogel microneedle patches integrating 5-fluorouracil inclusion complex-loaded flexible pegylated liposomes for enhanced non-melanoma skin cancer treatment.
International journal of pharmaceutics
Dec 13, 2024
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) incorporating 5-FU-hydroxypropyl beta-cyclodextrin inclusion complex-loaded flexible PEGylated liposomes (5-FU-HPβCD-loaded FP-LPs) to enhance treatment ...
Development and comparison of machine learning models for in-vitro drug permeation prediction from microneedle patch.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
May 6, 2024
The field of machine learning (ML) is advancing to a larger extent and finding its applications across numerous fields. ML has the potential to optimize the development process of microneedle patch by predicting the drug release pattern prior to its ...
Novel aspects of Raman spectroscopy in skin research.
Experimental dermatology
Jul 25, 2022
The analytical technology of Raman spectroscopy has an almost 100-year history. During this period, many modifications and developments happened in the method like discovery of laser, improvements in optical elements and sensitivity of spectrometer a...
An objective skin-type classification based on non-invasive biophysical parameters.
Journal of the European Academy of Dermatology and Venereology : JEADV
Nov 20, 2021
BACKGROUND: Despite the invention of various non-invasive bioengineering tools, skin-type analysis has largely been based on subjective assessments. However, advancements in the functional cosmetic industry and artificial intelligence-assisted dermat...
Label-Free Quantification of Pharmacokinetics in Skin with Stimulated Raman Scattering Microscopy and Deep Learning.
The Journal of investigative dermatology
Jul 22, 2020
The treatment of inflammatory skin conditions relies on a deep understanding of how drugs and tissue behave and interact. Although numerous methods have been developed that aim to follow and quantify topical drug pharmacokinetics, these tools can com...
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