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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 investigated young people's attitudes towards COVID-19 vaccination, revealing mostly positive views on its health protection benefits, though opinions varied on issues like the safety of the Sputnik-V vaccine and coercive measures, influenced by cognitive distortions and value placed on personal freedom.

This study suggests that pre-trained Transformers only outperform syntactic and lexical neural networks on unseen DarkNet sentences after extreme domain adaptation, indicating unexpected advantages from their massive pre-training corpora.

In this study, patients undergoing plastic, reconstructive, and aesthetic surgery reported higher levels of self-confidence if they were satisfied with their appearance, based on scores from the Coppersmith Self-Confidence Scale and other measures of self-esteem and social support.

The abstract indicates that the paper addresses social perceptions of males, but no specific research findings or results are reported.

This study found that skin surface lipids contain measurable mRNAs, providing a non-invasive way to study skin diseases, with specific gene expression changes observed in atopic dermatitis patients.

This study explores patients' perceptions of hair loss treatments, specifically oral minoxidil, topical minoxidil, and oral finasteride, building on existing clinical research.

This study explored using large language models to automatically identify monkeypox cases from electronic medical records, finding that models based on DeepSeek features performed better than traditional methods, with logistic regression showing high accuracy in detecting key symptoms like fever and rash.

This publication discusses various interdisciplinary studies from Brazilian institutions addressing social development themes but reports no new results.

This study reported that derivatization with 5-butylpicolinic acid improved the sensitivity for detecting testosterone and DHT in saliva using LC-ESI-MS/MS, with minimal interference from the saliva matrix.

This study found that 18.1% of health workers at Sanglah Hospital reported anxiety during the COVID-19 pandemic, with the highest levels in nurses and those in Non-COVID wards.

This study reported that machine learning analysis of protein profiles in hair segments achieved high accuracy in distinguishing women with non-suicidal self-injury disorder from healthy controls, suggesting hair proteomics as a promising non-invasive biomarker for stress-related psychopathology with potential clinical applications.

This study evaluated AI chatbots' responses to scabies-related questions, finding DeepSeek had the highest accuracy despite higher hallucination rates, while ChatGPT-5.2 provided more readable and reliable information, highlighting variability and the need for cautious use of AI in health queries.

This article examines the emergence of predictive analytics with big data and concludes that Foucault's concept of biopower is now a hybrid involving various technologies to monitor and model behavior and risk.

This study demonstrated that combining cell conditioning with mild protease digestion enhanced the visualization of versican mRNA in formalin-fixed mouse skin tissue sections compared to using either technique alone.

This study found that a positive feedback loop involving RHD2-derived ROS and Ca2+ influx maintains active growth sites in Arabidopsis root hair cells, influencing cell shape.

This report describes a case in which poststreptococcal reactive arthritis in a girl was effectively treated with naproxen, and highlights the importance of considering nongroup A Streptococcus in similar presentations.

In this study, researchers used Google Search ads to gather an open access dataset of 10,408 dermatological images from over 5,000 U.S. internet users, enhancing the diversity and representativeness of skin condition images available for research and artificial intelligence development.

This study found that hirsutism significantly negatively impacts quality of life, with self-assessed severity more strongly linked to quality-of-life impact and depressive symptoms than clinician assessments.

This study found that the Antera 3D® system provided an objective and sensitive method for assessing pediatric pathological scars, capturing significant changes in pigmentation, vascularity, and volume, compared to the traditional Vancouver Scar Scale and dermoscopy, which showed varied sensitivities across different scar parameters.

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.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This study highlights ongoing limitations in the administration and reporting of FACE-Q Aesthetic scale data, recommending that future research follow the User's Guide for proper administration and scoring, justify the study's time frame, and provide sample size calculations for key outcomes.

This review reports an increasing trend in sperm DNA fragmentation research over the past 20 years, with a focus on lifestyle, asthenozoospermia, and varicocele, and highlights the TUNEL technique as widely used.

This study suggests that measuring cortisol levels in hair may serve as a useful biomarker for assessing mood in individuals with bipolar disorder over recent months.

This study developed a hat-shaped device with wearable sensors to estimate scalp moisture content using machine learning, demonstrating that it can provide accurate measurements comparable to professional scalp analyzers without the need for high-cost equipment.

In this study, researchers developed an open-source browser-based tool to enhance the reproducibility and accuracy of SALT score calculations from scalp photos, aimed particularly at assessing partial regrowth in alopecia areata patients on JAK inhibitor therapy.

This study found that personal and professional qualities affecting motivation in female municipal servants are systematically organized yet differ quantitatively and qualitatively from those in the general sample, highlighting the importance of considering gender differences when improving motivation for local self-government tasks.

This study found that Google Trends data on search terms like "eyelid plastic surgery," "facelift," and "rhinoplasty surgery" significantly correlated with actual US surgery volumes, highlighting its potential use for plastic surgeons in marketing and advertising decisions.

This study found that natural appearance was rated higher in attractiveness, perceived success, and health than simulated upper lip fillers or lifts by casual observers.