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This case report indicates that retinoblastoma can occur in a microphthalmic eye and recommends using multiple imaging techniques due to potential differences in calcification visibility.

This study identified genetic, biological, and technical factors that influence circRNA expression in the human brain, connecting these factors to potential genetic risk for diseases like schizophrenia and type II diabetes.

This study found that activation of cannabinoid 1 receptors in human scalp hair follicles may limit excessive mast cell activation and maturation, suggesting a potential therapeutic strategy for managing MC-dependent skin diseases.

This study suggests that the GPX-PDE1 and GPX-PDE2 genes in white lupin enhance root hair development and contribute to Pi limitation acclimation by facilitating glycerophosphodiester degradation.

This review discusses the infection dermatophytosis in cats and reports no new results; it emphasizes the difficulty of eradicating the disease in shelters and catteries.

This study observed that women aged 63 with androgenetic alopecia had higher insulin resistance and more role limitations due to physical health compared to those with normal hair.

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.

In this study, researchers observed that deleting the Gpr54 gene accelerated the hair cycle and enhanced hair regeneration in mice by modifying the NAFTc3-SFRP1-Wnt signaling pathway, suggesting Gpr54 as a potential target for hair loss treatments.

In this study, researchers found that the female plumage color variations in the common cuckoo are linked to the female-restricted genome and suggest this pattern is maintained by balancing selection, sharing ancestry with the oriental cuckoo.

This study identified novel genetic variations in the KRTAP22-2 gene among eight sheep breeds but found no association between these genotypes and wool fibre traits, indicating possible species-specific differences compared to goats.

This study validated an HPLC analytical method for evaluating fenasteride in commercial products, finding it to be sensitive, selective, and within acceptance criteria for specificity, precision, and stability, making it suitable for quality control testing.

This study found that ensemble machine learning models effectively predict hair fall by combining the strengths of individual algorithms, leading to higher accuracy, precision, and recall in identifying hair and non-hair fall instances compared to single algorithms.

This review discusses how sex-limited chromosomes can affect non-reproductive traits in various sex determination systems and reports no new empirical results.

This study explored the mechanism of Shaoyao Gancao decoction in treating alopecia areata and found that it may be closely related to the PI3K/AKT signaling pathway.

This study suggests that the anti-inflammation and anti-oxidation properties of Taohong Siwu decoction may be linked to its effects on androgenic alopecia through specific biological processes and pathways.

This review discusses the potential of using human hair proteomics for non-invasive diagnostic and forensic applications but reports no new results; the authors highlight areas needing further research.

This guideline from the Endocrine Society recommends using the Rotterdam criteria for diagnosing polycystic ovary syndrome and outlines first-line treatments, emphasizing hormonal contraceptives and lifestyle intervention.

This review discusses the emerging "endocrine phenotype" of COVID-19, highlighting the implications for managing diabetes, obesity, vitamin D deficiency, and other endocrine conditions in affected patients.

This study found that ancient and modern Chinese goats share close genetic ties, originating from the Fertile Crescent, with genetic divergence influenced by China's climatic divisions.

Melanoma thickness at diagnosis is linked to access to dermatologists and preventive services, not to socioeconomic status.

This study developed a fast and sensitive ultra-high performance liquid chromatography method to quantify ketoconazole in antidandruff emulsions, showing comparable results to labeled concentrations.

This study evaluated a novel, user-friendly approach for detecting hairfall trends over time using machine learning models. The Temporal Fusion Transformer model demonstrated high accuracy in identifying anomalies in hair shedding patterns, potentially aiding in the early detection of health risks related to hormonal fluctuations.

This study found that external application of DGD activates the Wnt/β-catenin signaling pathway, promoting hair follicle anagen phase entry, and is a more effective and safer treatment for androgenetic alopecia in mice compared to oral administration.

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.

In this study, XZYFD, a Traditional Chinese Medicine formulation, was found to improve androgenetic alopecia in a testosterone-induced mouse model by promoting hair regrowth, restoring follicular morphology, and modulating androgen metabolism, MAPK signaling, and lipid metabolism pathways, suggesting potential benefits for patients with metabolic dysfunction.

In this study, researchers linked SARS-CoV-2 infection to telogen effluvium in some COVID-19 patients by observing the accumulation of viral proteins in hair follicle cells, which may trigger stress responses and cell death, suggesting hair follicles as a potential target in COVID-19.

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.

Living near more dermatologists and using certain cancer screening tests lowers the chance of being diagnosed with advanced skin cancer.

Children with diabetes often have skin problems, which can be better managed with good blood sugar control.