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This study constructed a comprehensive atlas of prenatal human skin, revealing that innate immune cells, such as macrophages, play a crucial role in skin morphogenesis by interacting with non-immune cells, influencing hair follicle formation and angiogenesis beyond their traditional immune functions.

This symposium reviewed various topics in stem cell research related to skin biology, including mechanisms of skin regeneration, tumorigenesis, and pathways influencing melanoma stem cell behavior, but it reported no new clinical results.

In this study using genetic mouse models, researchers discovered that senescent melanocytes in nevi secrete osteopontin, which activates hair stem cells, enhancing hair growth; this process is mirrored in human hairy nevi, suggesting a potential therapeutic target for regenerative disorders.

In this study, researchers successfully constructed a high-precision three-dimensional model of human skin dermis, revealing a detailed analysis of dermal porosity and pore diameter distribution, which can aid the development of biomimetic tissue-engineered skin.

This study used a probabilistic Boolean network model to explore hair follicle cell fate regulation and predicted that varying TGF-β levels, in coordination with BMP and TNF, can influence either apoptosis or cell proliferation during different follicle growth stages.

This article reviews the generation of complex integument patterns through genetic, chemical, and environmental influences, with applications in tissue engineering, but reports no new experimental results.

This study describes a method to extract and characterize keratin particles from human hair, finding they can encapsulate the anticancer drug Paclitaxel with significant efficiency, releasing it in a pH-dependent manner potentially beneficial for targeted cancer treatment.

This study found that Rumex japonicus Houtt. root extract promoted hair growth by enhancing cell proliferation and preventing apoptosis in human dermal papilla cells and HaCaT cells, as well as in a mouse model.

This review discusses the expression of circadian genes in hair follicles and their potential for monitoring circadian-rhythm-related conditions, reporting no clinical results; the authors suggest combining hair sampling with other assessments for better insight.

This review describes various in vitro and ex vivo hair follicle models used to study hair growth and regeneration and explores their potential for developing hair loss treatments, but it does not report new results.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

In a mouse model, this study found that LAM/TSC cells invaded the uterus and increased angiogenesis, while anti-EGFR antibody and rapamycin effectively reduced cell presence and blood vessel proliferation.

Reducing CD8+ T cell growth can stabilize alopecia areata.

This study reported that AutoML effectively modeled itching and pain development, as well as app use, in patients with chronic eczema or psoriasis using a smartphone monitoring app, revealing that factors like BMI, age, and disease activity significantly influenced app engagement.

This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.

This study proposes a deep learning model using CNN with VGG16, VGG19, and MobileNetV2 architectures, achieving high accuracy in classifying scalp diseases from images, potentially facilitating diagnosis and treatment via mobile devices.

This study found that COVID-19 vaccine booster dose acceptance was high in the East Mediterranean Region, especially among those informed by the Ministry of Health, but concerns about benefits and side effects influenced rejection.

This study found that nanoemulsion-based formulations, such as nanoemulgel and NFs, might serve as promising topical delivery systems for treating inflammatory diseases, potentially offering an alternative to traditional nonsteroidal anti-inflammatory drugs, which are associated with adverse effects.

In this meta-analysis, researchers found that melatonin did not affect primary hair follicles or litter size in goats but was positively correlated with secondary follicle growth, suggesting potential relevance for studying hair growth mechanisms and human alopecia.

This study found that fibronectin nanofiber dressings, made using rotary jet spinning, accelerated wound healing and improved tissue restoration in a full-thickness wound mouse model.

This study found that both autogenic and allogenic PRP therapies significantly improved wound contraction and healing in rabbits by day 15 and achieved complete wound closure by day 21, outperforming control and heterogenic PRP treatments.

This review found that current forensic DNA phenotyping panels for biogeographical ancestry and visible traits face significant limitations due to inconsistencies in terminology, genetic understanding, and genotyping technologies, highlighting the need for harmonization and further research.

This study found that while nicotinic acid significantly inhibited human sebaceous organoid growth in vitro, the predicted skin concentrations from gut microbiome-derived levels were far below the effective dose, suggesting high oral doses would be necessary for therapeutic effects.

This database provides detailed physiological parameters of porcine skin to enhance the MPML MechDermA Model, improving dermal absorption predictions for human studies in the Simcyp Simulator.

This review highlights the potential of permeation enhancers to improve the delivery of active ingredients across the skin, optimizing therapeutic outcomes despite challenges posed by individual variability and environmental factors, according to the authors' analysis of current understanding and applications in skincare and transdermal therapies.

This review explores the use of topical and transdermal delivery for drugs and cosmetics, highlighting the benefits of avoiding side effects and rapid metabolism, with a focus on nanoparticulate formulations and techniques for studying skin penetration.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

This study models the pathways of nandrolone and its metabolites in the body and suggests methods to counteract finasteride's role in enabling PED users to cheat drug tests.