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This study found that keratin-associated proteins related to metallothionein and occludin appear in various animals, suggesting they may have roles beyond hair characteristics and were later adapted for hair production.

This study found that scarring alopecia is common in autosomal recessive congenital ichthyosis patients and significantly correlates with the disease's severity, highlighting the need for thorough hair evaluations in clinical management.

This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

In this study, the researchers used machine learning techniques on an image dataset to diagnose Alopecia Areata, achieving a maximum accuracy of 98.3%.

CCCA in women of African ancestry may be caused by PADI3 gene mutations and intense hair grooming.

This study reports that mutations in the SUR2 gene are linked to Cantu syndrome, highlighting the role of KATP channels in cardiovascular health and potential new therapies.

This study observed that the growth cycle of cashmere in Inner Mongolian cashmere goats consists of three phases, with genes KAP3–1, KRTAP 8–1, and KRTAP 24–1 closely correlating with this cycle.

This study identified and characterized a gene called 4C32, which is expressed in the periderm of embryonic mouse skin and has a structure similar to keratin-associated proteins.

This study found that as few as 90 base pairs of the K5 promoter directed keratinocyte-preferred expression in stratified epithelia, especially in epidermis, hair follicles, and tongue, showing cell type specificity.

This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.

This study identified KRT82 as a significant Alopecia Areata risk gene, finding that rare damaging variants are linked to elevated immune cell infiltration around hair follicles in affected individuals.

This study provided new insights into the complex and heterogeneous architecture of keratin filaments, revealing their dynamic and flexible structure through cryo-electron microscopy analysis.

A woman developed rare, unexplained curly hair on her scalp and eyelashes.

This study found that examining hair morphology provides deeper insights than classification, suggesting a potential population stratification artefact between hair curvature and cross-sectional shapes in the examined admixed African-European sample.

This case report illustrates how SNP array testing helped identify a DCAF17 mutation linked to Woodhouse-Sakati syndrome in consanguineous Qatari siblings with shared features including alopecia and hypogonadotropic hypogonadism.

This study found differential expression of genes related to hair fiber production in Pashmina and Barbari goats, potentially enhancing pashmina fiber quality and informing future enrichment analyses.

This study identified that α-ketobutyrate (α-KB) extends lifespan and improves health markers in Caenorhabditis elegans and aged mice by modulating pyruvate metabolism and activating AMPK pathways, with potential implications for human anti-aging treatments.

This study found that while DALL-E 2 can create realistic hair images from text prompts, its accuracy in depicting specific hair disorders, like alopecia areata, often falls short, highlighting the need for AI developers to work with medical experts to improve dermatological applications.

This study found that low-coverage whole-genome sequencing followed by imputation effectively identifies genetic variants associated with wool traits in Angora rabbits, offering a cost-efficient method for genetic research and breeding.

Keratin proteins in epithelial cells are dynamic and crucial for cell processes and disease understanding.

This study found that among various predictive models for baldness risk, Random Forest Regression performed best with the lowest mean squared error and highest R², indicating strong predictive accuracy, especially with complex datasets, while Linear Regression was better suited to simpler datasets.

This study characterizes alopecia in ARCI, highlighting its prevalence among patients with severe forms and revealing new associated trichoscopic features.

A mutation in the KRT74 gene causes tightly curled hair.

In this study, researchers developed a mathematical model to explore how immune system dynamics affect hair follicle behavior in alopecia areata, identifying key parameters influencing disease progression and suggesting potential treatment strategies targeting immune dysregulation.

This study found that the 4Kscore model, when adjusted for kallikrein marker changes due to finasteride use, improved the prediction of high-grade prostate cancer compared to adjusted total PSA alone in men taking 5-α-reductase inhibitors.

This study found that progression ads are more persuasive for individuals with a weak fresh start mindset, whereas before/after ads are more effective for those with a strong fresh start mindset.

This study investigated the expression of KRTAP6 gene family in Gansu Alpine fine-wool sheep, finding significant expression during the anagen phase and a negative correlation between KRTAP6-1 and KRTAP6-5 expressions with wool fiber diameter and strength.

This review highlights the potential of PROTAC technology in drug discovery for previously undruggable targets, particularly in cancer therapy, while emphasizing the urgent need to discover more E3 ligase recruiters to optimize targeted protein degradation.

AGC2-1 protein is essential for root hair growth in Arabidopsis.

In this study, autologous micrografting technology using auricular cartilage was reported to be safe and effective for improving knee function and reducing symptoms in patients with early-stage knee osteoarthritis over six months, but larger studies are needed to confirm these results.