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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 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.

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 case describes a 14-year-old girl whose symptoms of hirsutism and virilization were attributed to an ovarian Sertoli-Leydig tumor, with improvement following surgical removal.

This case study reports a rare instance of a virilizing androgen-only secreting adrenal cortical adenoma in a 13-year-old, with symptom resolution after surgical removal.

This case study describes a testosterone-secreting adrenal adenoma in a 55-year-old woman, highlighting the presence of Reinke's crystalloids, suggesting that Leydig cells may play a role in such tumors.

In this study, researchers developed a novel computational framework using deep reinforcement learning to identify strategies for cellular reprogramming in gene regulatory networks, showing its effectiveness in a model of immune response against infection.

This study reports that the ScalpEye system accurately diagnosed dandruff, folliculitis, hair loss, and oily hair with a precision range of 97.41% to 99.09%.

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.

In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.

This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.

This abstract appears to consist entirely of repeated color specifications and logo guidelines, providing no research findings or new results.

This review evaluates current research on how hormonal changes due to aging impact voice quality, concluding the vocal cords are sensitive to hormonal fluctuations throughout life but reports no new clinical results.

In this study, Kerion Celsi, a deep fungal scalp infection, is highlighted as being rare in neonates but more common in children over 3 years, requiring medical treatment with antifungals and antibiotics to prevent scarring alopecia and distinguish it from bacterial infections.

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 reports that a virilizing Leydig cell type ovarian tumor in a 40-year-old woman caused hyperandrogenism and virilization symptoms, which improved post-surgery.

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

This study found that a single 2 ml injection of TEEV every 4 weeks offers similar beneficial effects with fewer side effects compared to injecting the same dose every 2 weeks in postmenopausal women.

This article reviews skin disorders in Parkinson's disease, highlighting the potential of skin studies and stem cell research to advance understanding and treatment of the neurodegenerative disorder, without presenting new results.

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.

This study developed a deep learning-based method that identified 3,620,516 potential drug-disease associations, suggesting a promising tool for large-scale virtual screening in drug research.

This paper reviews the properties, characteristics, and applications of deep eutectic solvents as environmentally friendly alternatives for extracting bioactive compounds from natural sources in the pharmaceutical industry.

In this study, researchers developed a hybrid deep learning model called ScalpViT that accurately diagnosed scalp diseases with 94.3% accuracy, surpassing existing methods like ResNet-50 and EfficientNet-B3, and providing visual explainability for clinicians using GradCAM and Attention Rollout techniques.

This study introduces ScalpViT, a new deep learning model that accurately diagnoses visually similar scalp diseases with 94.3% accuracy, outperforming other methods like ResNet-50 and EfficientNet-B3, and providing dual visual explainability through GradCAM and Attention Rollout, potentially benefiting diagnosis in resource-limited settings in India.

In this study, researchers developed ScalpViT, a novel deep learning model, to improve the automated diagnosis of visually similar scalp diseases, achieving 94.3% accuracy and outperforming existing models like ResNet-50 and EfficientNet-B3 when tested on a diverse dataset of 7,000 images.

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 describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.

This article explores the potential applications of polyglutamic acid in cosmetics, discussing its benefits for skincare and haircare, but reports no new experimental results.

This source reports that clinical trials using advanced Deep Brain Stimulation systems, augmented with AI to integrate kinematic data, eye tracking, and cognitive assessments, show promise in improving diagnostic accuracy and monitoring symptoms for patients with Parkinson's disease.

In this case study, researchers reported a 61-year-old postmenopausal woman with virilizing symptoms like hirsutism and voice deepening was found to have an androgen-secreting adrenal tumor, emphasizing the importance of considering this diagnosis in similar cases.