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This study found that ZnO nanoparticles in topical skin products do not penetrate beyond the outer skin layers in humans, suggesting minimal safety concerns for subdermal absorption.

This review describes three mouse models using fluorescent proteins to image tumor angiogenesis in real-time, but reports no new clinical results.

This review discusses the critical parameters for MALDI IMS sample preparation in skin analysis and highlights its applications in wound healing, neoplasia, and infection research, but reports no new clinical results.

In this study, researchers identified three molecules in hair that varied with age, suggesting potential markers for aging and targets for cosmetic products.

This review describes the development of three mouse models using fluorescent proteins to visualize and study angiogenesis in tumors, particularly detailing interactions between tumor cells and the surrounding stroma.

This report describes the sonographic characteristics of a proliferating trichilemmal tumor in the subungual region, identifying it as a heterogeneous mass with echogenic foci, potentially representing keratin and cholesterol.

This study found that a pre-trained image processing technique accurately classified scalp conditions with 85% accuracy, suggesting potential for automated diagnosis and treatment selection.

This study found a significant positive correlation between hair thickness and growth rate, with a notably slower growth rate observed in men with male pattern hair loss compared to healthy controls.

This article is a letter to the editor discussing hair graying and loss potentially induced by imatinib mesylate, but it does not provide new research results.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

This study used a deep learning approach that successfully predicts alopecia, psoriasis, and folliculitis with a 2D convolutional neural network, achieving a training accuracy of 96.2% and validation accuracy of 91.1%.

This letter compares automated digital image analysis (TrichoScan) with manual marking of hairs in male patients with androgenetic alopecia but reports no new results.

This review discusses recent advances in biomedical imaging for cancer research, particularly highlighting improved imaging tools for studying solid tissue malignancies, and reports no new clinical results.

In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.

In this study, researchers developed a new prostate cancer imaging agent, a [99m Tc]tricarbonyl complex derived from finasteride, which demonstrated high radiochemical purity and significant uptake in the prostate of a rat model, suggesting its potential for noninvasive prostate cancer imaging.

This study found that a lightweight Convolutional Neural Network model can accurately and quickly determine natural hair tone from high-resolution images of hair roots, outperforming other popular methods.

In this study, researchers used advanced four-dimensional optical imaging techniques to observe changes in skin afflicted with acne, finding increased epidermal thickness, keratinized hair follicles, inflammation, and aggregated blood flow, helping to distinguish between inflammation and reparative phases of acne progression.

This case report describes the first instance of classical lichen planopilaris with atrophic lichenoid plaques developing in a Blaschko-linear pattern due to imatinib treatment in a patient with chronic myeloid leukemia.

This review discusses the evolution and potential of non-invasive imaging techniques for diagnosing scalp diseases, highlighting their advantages and limitations compared to trichoscopy and scalp biopsy, the current diagnostic standards.

This case report highlights the challenge of distinguishing between neuropsychiatric lupus and rituximab-associated progressive multifocal leukoencephalopathy in systemic lupus erythematosus patients, emphasizing the importance of early recognition and careful management.

This article discusses using the ImageMeter mobile app to calculate scalp area for PRP treatment in androgenetic alopecia, reporting no new clinical results.

In this study, the researchers used a human hair follicle model to demonstrate that T cell stimulation can induce an alopecia areata–like phenotype, with cell proliferation and immune privilege collapse; however, the DHODH inhibitor farudodstat partially mitigated these effects by reducing T cell proliferation.

This review found that image-guided techniques in regenerative aesthetic procedures may enhance accuracy and patient outcomes compared to traditional methods, but more high-quality randomized trials are needed to establish standardized protocols.

This study found that gentamicin-loaded exosomes derived from bovine leukocyte spleen extract enhanced antimicrobial activity and promoted tissue regeneration in infected diabetic mouse wounds, suggesting a potential innovative therapeutic strategy for diabetic foot ulcers by combining infection control with pro-regenerative and immunomodulatory effects.

In this study, gentamicin-loaded exosomes from a bovine leukocyte spleen extract were found to enhance tissue regeneration and antimicrobial activity, offering a promising therapeutic approach for infected diabetic foot ulcers by promoting wound healing and modulating inflammation in a diabetic mouse model.

This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.

In this scoping review and meta-analysis, researchers found that patients with alopecia areata exhibit complex chemokine profiles, with elevated levels of Th1, Th2, and other immune pathway-associated chemokines, suggesting the potential for broad immunomodulatory strategies to address the disease's immune dysregulation.

The researchers reported that in a mouse model of alopecia areata, tofacitinib treatment influenced disease progression by modulating CD8⁺ T cell infiltration through the linoleic acid metabolism and magnesium ion pathway, offering insights into potential treatment approaches.

This study found that tofacitinib may inhibit CD8+ T cell infiltration in alopecia areata by affecting the linoleic acid metabolism-Mg2+ pathway in a sodium sulfide-induced mouse model, highlighting new insights for clinical diagnosis and treatment strategies.

This study found that in a mouse model of alopecia areata, tofacitinib inhibited CD8+ T cell infiltration at hair follicles by modulating linoleic acid metabolism and magnesium pathways, offering insights into potential therapeutic strategies for the condition.