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This study identified 374 eQTLs in scalp hair follicles associated with genes involved in metabolic, mitotic, immune processes, and responses to steroid hormones, contributing insights into genetic variation and hair traits.

This study analyzed pexidartinib-associated adverse events from FDA data and reported common events such as hepatic issues and systemic reactions. It highlighted sex-specific susceptibilities and reinforced the need for risk mitigation and long-term monitoring in tenosynovial giant cell tumor management.

This article reviews the possible therapeutic activities of Angelica gigas Nakai root extracts and their components, noting their potential effects on neuro-cognitive, metabolic, and other health conditions, and reports no new clinical results.

In this study, the researchers observed that the evolution of Curtobacterium flaccumfaciens pv. flaccumfaciens, which causes tan spot in Australian mungbeans, is driven by clonal expansion from existing genetic variations, emphasizing the need for informed breeding strategies to manage resistance against this pathogen.

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 review discusses existing forensic DNA phenotyping panels for biogeographical ancestry and externally visible characteristics and highlights major technical limitations, including terminology issues, genetic knowledge gaps, and technological debates; it reports no new results.

This study found that 95% of untreated advanced-stage follicular lymphoma patients responded to a single course of the Bexxar regimen, with 75% achieving complete remission and remaining disease-free for years.

The document describes skin diseases affecting the outer ear in dogs and cats, their spread to other body parts, and treatment options.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

In this study, researchers developed a predictive model for the onset of alopecia areata by analyzing six datasets to identify key feature genes and employing various machine learning algorithms, ultimately finding the XGBoost model most effective for clinical application.

This Mendelian randomization study suggests possible bidirectional causal links between alopecia and sleep characteristics, but findings require cautious interpretation due to multiple testing, highlighting the need for further research to explore underlying mechanisms and broader applicability.

This research found significant associations between gut microbiome composition and 14 out of 37 examined health conditions, suggesting that increased microbial abundance often aligns with favorable health states.

This review highlights how forensic drug analysis in hair using modern instrumental techniques offers advantages such as easy sample collection and chronological tracking of drug use, emphasizing its value for law enforcement and other applications.

This study assessed the potential for Ocean Thermal Energy Conversion power in Fiji, finding higher power output and efficiency during summer due to greater temperature differences between surface and deep sea waters.

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

Finasteride for hair loss in young men may significantly increase the risk of sexual dysfunction.

The document discusses various diseases of the outer ear, categorized by symptoms like redness, crusts, bumps, pus-filled lesions, lumps, ulcers, and hair loss.

The document concludes that various disorders can cause hair loss in dogs, each requiring different treatments, and some may heal on their own.

This article reviews causes, differentiation, and treatment of thinning hair in women, with no new clinical results reported.

This review outlines recent advancements in understanding how micro-RNAs (miRNAs) influence hair regeneration, highlighting their role in stimulating hair growth and potential therapeutic approaches, while also addressing the challenges of clinical translation due to miRNAs' complex roles and delivery issues.

In this study, researchers observed that organic traffic to Spanish contract cheating websites rose during the COVID-19 pandemic but decreased from 2023, possibly due to the increasing use of generative AI tools.

This study revealed significant signals of drug-related cognitive disorders in several medications that lack relevant FDA label warnings, suggesting a need for increased clinical awareness and potential label updates.

In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.

This research introduces WomenCare, a web-based system using a machine learning model to predict PCOD risk by evaluating factors like age, BMI, and lifestyle habits; it aims to help women monitor their health but is not a substitute for a professional diagnosis.

In this study, researchers found that sesamin, a component of sesamum, modulated the AR-MAPK-Wnt signaling pathway in DHT-stimulated HaCaT keratinocytes, demonstrating potential multi-target activity against molecular events in androgenetic alopecia.

In this study, researchers developed de novo designed hetero-bifunctional proteins as an alternative approach for targeted protein degradation, successfully targeting BCL-xL for degradation in cells and inducing apoptosis, which may expand the range of addressable E3 ligases and disease targets.

This study evaluated machine-learning models to predict PCOS among reproductive-aged women in Bangladesh, finding that the XGBoost model achieved high accuracy (99.63%) and effectiveness, particularly when prioritizing clinical features over psychological ones in the predictive process.

This study demonstrates that an AI-based grading framework using a novel area ratio metric improves the accuracy and consistency of male pattern hair loss classification, especially in advanced grades, compared to traditional methods.

This study found that specific immune cell phenotypes, particularly CD25 on CD4 Treg cells, were causally linked to androgenic alopecia, suggesting potential targets for immune-based therapies.

This review summarizes the application of genome wide association studies and selection signature analyses in sheep and goat breeding in China, highlighting genomic regions that influence traits like reproductive performance and body size.