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This study identified a novel bi-allelic missense variant in the DSC3 gene linked to severe Hypotrichosis with Recurrent Skin Vesicles in a Saudi child, supporting its role in the condition.

In this study, researchers developed an injectable silk fibroin-based hydrogel that enhances wound healing by protecting against oxidative stress and promoting tissue repair, outperforming commercial wound dressing Tegaderm™ in animal models.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.

This review found an increased prevalence of common skin disorders, such as infectious and inflammatory conditions, in patients with Down syndrome and highlighted the need for improved screening and management guidelines.

This review discusses the skin and systemic conditions associated with Down syndrome and reports no new clinical results, emphasizing the need for awareness of these manifestations in diagnosis.

This article reviews approved treatments for androgenetic alopecia and reports no new research findings, highlighting the need for further studies.

This study found that the solid self-nanoemulsifying drug delivery system improved the oral bioavailability of carvedilol significantly compared to the drug alone, enhancing its solubility, dissolution, AUC, and Cmax.

This article reports on the 2025 Annual Dermatology Nurses’ Association Convention, emphasizing its role in education, networking, and advocacy advice, and provides insights into managing stress-related skin issues and hair loss, as well as dermatology treatment advances.

This study reported that a novel vasodilator drug called TOP-M119, when delivered using a specially designed dissolving microneedle system, showed enhanced targeting of hair follicles and effectiveness in treating alopecia, demonstrated through in vitro, ex vivo, and in vivo studies involving mouse skin.

In this study, deep learning models accurately predicted gene expression in whole slide images of colorectal cancer, with convolutional neural networks outperforming transformer and graph-based approaches in spatial RNA pattern prediction.

This study found that GDNF promotes hair formation and skin wound repair by enhancing the self-renewal and differentiation of bulge stem cells in mice.

MultiKano accurately identifies cell types in complex data better than existing methods.

This study analyzed 853 articles to reveal that research on silica-based nanobiomaterials in regenerative medicine has rapidly increased, with distinct regional differences in impact and emerging focus areas in drug delivery and wound healing.

This study found that overexpression and knockdown of DKK4 influence genes involved in hair follicle growth and development in Angora rabbits and identified specific SNPs in DKK4 associated with wool quality, notably showing that the TT/GG haplotype combination relates to higher fibre diameters.

This article introduces signatureSearch, a software package designed for gene expression signature searching and functional enrichment analysis, but reports no new clinical results.

This study found that secretory proteins in DFCM play crucial roles in regulating nerve restoration by forming significant protein interaction networks during the wound repair process.

This study introduces a novel method for capturing and digitally rendering the color appearance of physical hair samples using deep neural networks.

This preclinical study found that a machine-learning-driven strategy for fabricating microneedles with optimal hardness and rapid dissolution significantly promoted hair regrowth in androgenetic alopecia mice by activating the Wnt/β-catenin pathway, surpassing the effects of minoxidil.

This study developed and validated a radiomics-based clinical nomogram using routine renal ultrasound and clinical data to predict early diabetic kidney injury in a community cohort, finding it significantly outperformed clinical-only models in predicting risk and showed potential as a cost-effective screening tool.

In this study, researchers evaluated deep learning methods for diagnosing Alopecia Areata and found that a modified Inception-Resnet-v2 model achieved a high validation accuracy of 97.94% and loss of 10.4%, suggesting it as an effective tool for classifying alopecia-affected hair.

In this study with a rat muscle defect model, decellularized muscle matrix demonstrated better integration, neovascularization, and myogenesis compared to commercially available acellular dermal matrices, and also showed trends toward reduced inflammation and fibrosis after 30 and 60 days.

This review discusses the benefits of non-denatured soybean extracts in skincare, suggesting potential roles in skin lightening, anti-aging, delaying hair growth, and photoprotection, but it reports no new clinical results.

This study identified three SPINK5 mutations, including two novel ones, in Israeli patients with Comèl-Netherton syndrome, suggesting recurring mutations that should inform future diagnostic strategies in Israel.

This study found that nanobubble-encapsulated diclofenac with ultrasound-targeted microbubble destruction (DNBs-UTMD) can enhance the anti-tumor efficacy of Doxil® by regulating the tumor immune microenvironment, improving drug uptake, and increasing T cell responses while reducing immune-suppressive cells in the process.

AI-09 is safe, effective, and reduces wrinkles for up to 6 months.

This study found that dutasteride-loaded nanostructured lipid carriers coated with a stearic acid-chitosan oligomer are stable, less cytotoxic, and suitable for topical delivery to promote hair growth.

In this study using Xenopus laevis embryos, reduced levels of the desmosomal protein desmoplakin led to defects in epidermal and cardiac structures, suggesting its crucial role in tissue integrity.

This study found that using nanoporous silica entrapped lipid-drug complexes enhanced the solubility and bioavailability of dutasteride in beagle dogs.

This study found that the film-trigger applicator system enhanced drug delivery efficiency and skin penetration of dissolving microneedles compared to traditional patch systems in both lab and animal models.

AI and advanced technologies are improving medical diagnostics and treatments.