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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.

This study found that self-supervised pretraining significantly improves accuracy in medical image classifiers for dermatology and chest X-ray tasks, outperforming supervised baselines and showing robustness to distribution shifts with limited labeled data.

This narrative review explores the failure of fludalanine as an orally active antibiotic and highlights valuable insights into problem-solving strategies in drug discovery, without reporting new clinical results.

This review explores the role of Foxn1 in mammalian skin biology, discussing its influence on hair follicle function and the potential for further research to enhance understanding of epithelial differentiation.

This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.

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 study introduced the KRDQN predictive framework, which outperformed existing methods in predicting adverse drug reactions and provided interpretable insights into drug mechanisms, aiding pharmacovigilance and clinical decision-making.

This study highlights the importance of creating customized, evidence-based hair care solutions by considering scalp types and environmental factors, confirming the effectiveness of multidisciplinary approaches integrating dermatology, cosmetology, and trichology to develop safe and efficient products and treatments.

In this study, the researchers developed a deep learning framework to pre-emptively screen for adverse drug effects, showing strong predictive performance, including for increased bleeding risks with edoxaban compared to other anticoagulants.

This study applied a machine learning-based genomic analysis to identify genetic markers associated with wool traits in Central Anatolian Merino sheep, successfully highlighting loci relevant to fiber diameter, staple length, and greasy fleece yield, which could inform breeding programs to enhance wool quality and yield.

The LTF gene may help predict and manage nonspecific orbital inflammation.

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 new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

This study introduced a novel framework called SL-HyDE that significantly improved zero-shot dense retrieval accuracy in medical information retrieval without relying on labeled data.

In this case report, a young male beagle diagnosed with canine eosinophilic dermatitis, characterized by intraepidermal pustules and itchy skin, showed significant improvement with prednisolone treatment without recurrence, contrasting with common reports of recurrence in similar cases.

This study observed differences in blogger topics between Chinese and Japanese cultures, particularly in the "health", "military", and "nursing care" categories, using a topic model analysis of blog posts.

In this study, researchers identified six novel prognostic biomarkers for bladder cancer and developed a predictive model that effectively stratifies patients into high-risk and low-risk groups based on immune cell infiltration differences and gene expression.

This review highlights that gut dysbiosis and bacterial extracellular vesicles are key factors in PCOS pathophysiology, and suggests AI-driven analysis of these profiles could enhance diagnostic accuracy and treatment personalization, though ethical concerns like data privacy and bias must be considered.

This systematic review provides an in-depth evaluation of non-invasive imaging and biophysical methods for diagnosing and monitoring vitiligo, emphasizing the need for studies with larger sample sizes to verify their use in clinical practice and research.

This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.

This article reviews the clinical presentation and histopathologic features of alopecia areata and proposes a hypothesis for its development, but it reports no new clinical results.

This study found that young women with PCOS exhibited altered white matter microstructure and reduced cognitive performance compared to matched controls.

This study found that dental students' manual dexterity was weakly associated with their performance in skills-based assessments, while self-perceived skill levels showed no significant correlation with assessment outcomes, suggesting a potential benefit from focusing on dexterity enhancement in dental education.

This review discusses recent advances in trichoscopy for differentiating types of alopecia and presents a systematic approach for using its diagnostic findings, but reports no new clinical results.

This review discusses current concepts in wound repair and suggests that these evolving paradigms might also explain regenerative processes in various organ systems, but it reports no new research findings.

This review examines the definition, etiology, pathogenesis, and clinical features of polycystic ovary syndrome but reports no new clinical findings.

This article reviews practical approaches for managing dermatologic conditions in patients with skin of color and reports no new clinical findings.

This abstract describes a program with various presentations and events focused on Canadian excellence in rheumatology but reports no new research findings.

This study found that while the global incidence of alopecia areata in individuals aged 0–19 declined from 1990-2021, the total number of cases rose, with higher burdens among females, adolescents, and low-SDI populations, particularly in Central Sub-Saharan Africa; disparities suggest a need for targeted interventions.