Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This review discusses the complexities of diagnosing polycystic ovary syndrome and reports no new results; the authors suggest a thorough and careful diagnostic approach to avoid misdiagnosis and unnecessary tests.

This study discovered that lambs with coarse, ancestral-like wool in a population of modern fine wool sheep exhibited overexpression of the SOSTDC1 gene, linked to epigenetic changes, which helps understand the development and diversification of wool types in sheep breeding.

This study found that human meibomian glands differ significantly from free and hair-associated sebaceous glands in morphology and lipid composition, making them highly specialized holocrine glands.

This study found that individuals with androgenetic alopecia had higher scalp microbiome diversity and more complex scalp-gut microbiome networks than those without, suggesting a link between skin-gut microorganisms and hair loss development.

This study found that stage-specific epigenetic changes, particularly involving the gene PDGFC, may affect wool fiber development in Zhongwei goats, potentially serving as a biomarker for fur goat selection.

This study found distinct expression patterns of various transcription types during hair follicle morphogenesis, providing a foundation for understanding hair development mechanisms and aiding selective breeding for desirable wool traits in a specific breed.

This study found that 3D-cultured dermal papilla cells more accurately mimic in vivo conditions compared to 2D cultures, enhancing our understanding of molecular mechanisms in androgen-induced alopecia.

This analysis found that females have a higher lifetime risk of alopecia areata across various regions and time periods, with increased risk associated with higher socio-demographic index levels.

This study found that the HairComb algorithm achieved high accuracy in quantifying percentage hair loss across various types of alopecia, suggesting its potential for standardized automated assessments.

In this study, female pattern hair loss in Chinese Han patients was characterized by decreased hair density and shaft diameter, with minor gender differences and the vertex most affected.

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.

In this study, micro-CT analysis revealed that severe hypospadias in finasteride-induced rats was associated with varying levels of preputial blood circulation, impacting potential surgical approaches.

In this study, the researchers developed a computer-aided imaging system to quantitatively measure baldness in Chinese women with female pattern hair loss, potentially improving the precision of severity evaluation compared to traditional scales.

In this study, researchers analyzed skin tissue from two sheep breeds during the growing period and identified 56 differentially expressed lncRNAs and 616 mRNAs linked to hair follicle development, suggesting potential targets for improving sheep wool quality through genetic and molecular approaches.

This study found that the structure and mineral content of dromedary camel hair, specifically the medulla patterns, medulla index, and elemental composition, change with age, revealing differences among camels aged 1 year, 3-5 years, and 8-10 years.

This study found that people with alopecia areata have a higher likelihood of experiencing anxiety and depression, and a moderate negative impact on their quality of life compared to healthy individuals.

This study found that both natural and environmental selection have significantly influenced the goat genome, revealing genetic loci tied to adaptation, fitness, and productive traits, more so than artificial selection, across various goat populations.

This study highlights the need for personalized hair care plans based on scalp type and environmental factors, underscoring the importance of targeted product selection and the involvement of professionals to create effective solutions for modern lifestyle issues.

This scoping review reports that while empirical evidence suggests an overlap between Long/Post Covid-19 syndrome, chronic fatigue syndrome, and fibromyalgia, the underlying molecular mechanisms remain unclear, highlighting the need for standardized definitions and rigorous methodologies in Long Covid research.

This literature review conducted a comprehensive analysis of existing studies on micro-needling mesotherapy in dermatology and aims to offer a practical guide for its clinical application, though it provides no new experimental findings.

This study found that specific gene expressions during different stages of hair follicle development in Merino sheep are linked to wool-related traits, and may also be relevant to human skin, metabolic, and immune traits.

This systematic review and meta-analysis reported potential risk variants for acne in genes related to inflammation and sebaceous gland function, including TNF, CYP17A1, and FST, across diverse populations.

This study suggests that distinct chromatin topologies allow different lineage-specific enhancers to regulate Hoxd genes in mouse vibrissae and chicken feather primordia, while conserved regulatory elements maintain transcriptional robustness in the embryonic trunk across species.

This study found that TAp63 and ΔNp63 isoforms in the p63 family interact with different transcription factors to regulate distinct transcriptional programs, affecting various biological functions like metabolic pathways, oxidative stress response, and epithelial morphogenesis in mouse epidermal cells.

This study proposes a method for automatically removing hairs from skin lesion images by using edge-tangent flow for hair detection and texture synthesis for restoring occluded regions with minimal artifacts.

This study found that multiphoton microscopy imaging allows for detailed observation and quantitative analysis of collagen alterations in the progression of endometrial cancer, potentially offering a faster, more accurate method for early diagnosis compared to current protocols.

This study evaluated a new computer-aided detection system for identifying Breast Arterial Calcification in mammograms, achieving 70% accuracy, but highlighted the need for a larger dataset to explore its relationship with cardiovascular diseases.

In this study, using stirred-suspension bioreactors to expand dermal stem cells resulted in larger numbers, but had reduced efficiency in forming hair follicle structures compared to static culture conditions.

This study demonstrated that current facial recognition software can accurately identify individuals from MRI head scans within minutes, highlighting significant privacy concerns for clinical trial participants and the need for enhanced data protection measures.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.