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This case report documents the first known instance of heparin necrosis linked to tinazaparin, indicating that low-molecular-weight heparin may still cause serious side effects like conventional heparin.

This study reports that marked, deep dermal mucin deposition in a patient with alopecia areata may indicate underlying systemic lupus erythematosus, as this feature was not prevalent in other alopecia areata cases.

This study highlights the potential benefits and current limitations of robotic systems in nipple-sparing mastectomies, noting their promise in reducing surgeon fatigue but pointing out challenges such as longer operating times, high costs, and limited haptic feedback.

This article discusses laboratory and physical markers that may help detect androgenic anabolic steroid abuse in athletes and reports no new primary research results.

This study investigated demographic and clinical characteristics of twenty-nail dystrophy in Korea, identifying differences in subtype and gender predominance between children and adults.

This study discovered that adipose tissue infiltration at the isthmus level appears significantly more often in frontal fibrosing alopecia cases compared to controls, suggesting a potential role in the condition's pathology.

This case report describes an 8-year-old child with penile tourniquet syndrome due to a constricting thread, which led to partial distal penile amputation and required surgical intervention.

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 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.

AI can accurately measure hair loss severity in alopecia areata.

This article discusses the increasing trend of retargeting existing drugs for new indications and emphasizes the need for additional support in drug development, without reporting specific new results.

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 review discusses diagnostic methods for superficial cutaneous fungus infections in children and reports no new clinical results; the authors emphasize affordable, simple testing for confirmation.

This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.

This case study reported that a 51-year-old woman with hirsutism and voice thickening had a Leydig cell tumor detected by PET-CT, which normalized hormone levels and resolved symptoms after surgical removal.

In this study, researchers introduced an ultrasound-guided technique for injecting hyaluronic acid fillers into the temple area to enhance safety and precision by visualizing filler placement in the interfascial space.

This article discusses tinea capitis prevention and treatment strategies, emphasizing the importance of systemic therapy for effective antifungal action and reducing contagion risk.

This study found that JAK inhibitors used to treat alopecia areata have varied safety profiles, with different adverse events associated with each drug; tofacitinib and ruxolitinib had earlier onset of events, while baricitinib and ritlecitinib showed distinct delayed patterns.

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.

This chapter reviews common cosmetic dermatology techniques but presents no new findings; it discusses treatments like emollients and laser therapy for conditions like photoaged skin and acne scarring.

In this case report, successful scalp reconstruction was achieved for a 67-year-old man using a super thin DIEP flap, a technique adapted from breast reconstruction that shows promise in head and neck surgeries for improving wound contour and skin coverage.

This study developed a deep-learning model using unannotated dermatology images from online forums, achieving 49.64% accuracy in classifying 22 skin diseases and 61.76% accuracy in detecting monkeypox, highlighting the potential of these images for skin disease diagnostics in China.

Adult acne is more common in women, often linked to hormones, and can be harder to treat.

This case report describes a 14-year-old girl with signs of virilization, including increased facial and body hair, deepened voice, and elevated serum testosterone and androstenedione levels.

This article outlines the evolving landscape of surgical dermatology and highlights the promising future as new techniques continue to emerge, but it presents no new research results.

This study evaluated a polyherbal shampoo with pomegranate peel and activated charcoal, finding it offered good cleansing ability, stable foam, and scalp-friendly pH without causing irritation, suggesting it may be a safe and effective alternative to synthetic shampoos for pollution-related hair protection.

In this study conducted at the Veterinary Clinical Complex in Bikaner, Rajasthan, researchers found that among 240 canine dermatitis cases, 25 dogs had demodicosis, characterized by various hematological and serum biochemical changes, and distinctive histopathological alterations in skin samples.

In this study, researchers developed an AI-powered platform called VitaDetect, which screens for vitamin deficiencies using image analysis of nails, tongue, and skin, aiming to provide an accessible and early-stage detection tool in resource-limited settings.

This study presents a new automated computer vision system to objectively measure periocular hair density changes in breast cancer patients undergoing chemotherapy, demonstrating high precision in tracking individual changes and potential as a reliable tool for future clinical trials.