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This review discusses an algorithm using patient history, clinical examination, and tests to help diagnose hair loss in women, but it reports no new clinical results.

A rare genetic deletion in the KRT1 gene causes unique skin symptoms in a family.

This study found that GPT-4o demonstrated high concordance with in-person and image-based provider assessments in generating SALT scores for alopecia areata, suggesting its potential as an adjunct tool in clinical practice for automating these assessments.

This study constructed a model using serum levels of BMP2, CD8A, PRF1, and XCL1 as a non-invasive biomarker to accurately predict recurrence in patients with alopecia areata.

This study showed that regulation of adipose androgen generation via AKR1C3 may contribute to a cycle of hyperinsulinaemia and lipid accumulation in women with PCOS.

This study presents recombinant human hair keratins K31 and K81, observing novel nanostructures from their self-assembly and emphasizing disulfide crosslinking's role in this process.

This study found that mutations in the K17 gene underlie both pachyonychia congenita type 2 and steatocystoma multiplex phenotypes, regardless of the specific mutation involved.

This study found that Krtap11-1 may play an important role in keratin-bundle assembly in the hair cortex, influencing the physical properties of hair.

This study found that the SketchAndCalc tablet application offers an easy, rapid, and accurate method for measuring recipient areas in hair restoration, particularly excelling in accuracy for long and narrow shapes.

This article presents two cases of keratosis follicularis spinulosa decalvans and reviews its features, highlighting characteristic progression from keratosis pilaris in infancy to cicatricial alopecia in childhood.

In this study, transgenic mice expressing a mutant K6 gene developed progressive scarring alopecia and keratosis, suggesting they may model a new keratin disorder.

This study found that expression and variants of the KRT84 gene are associated with important wool traits in Gansu Alpine Fine-wool sheep, suggesting its potential use as a genetic marker for wool trait selection.

This study describes characteristic trichoscopic features of various hair loss diseases and proposes an algorithmic method for diagnosing them, but reports no new clinical results.

In this study, researchers reconstituted the face of Bayard, a historical French knight, using cranial characteristics, DNA analyses for skin, eye, and hair traits, and digital analysis of his portrait.

In this study, transfection experiments showed that mutations in the K85 gene affect filament formation with K35, which may impact hair formation related to ectodermal dysplasia.

This study focused on treating 'Indralupta' or alopecia areata using Ayurvedic methods such as Prachanna Karma, finding it promising for improving perifollicular vascularization and addressing hair loss attributed to vitiated Rakta as defined by traditional texts.

This study developed a mathematical model to simulate immune interactions and hair cycle dynamics in alopecia areata, identifying influential factors affecting hair growth and offering insights into potential treatment strategies by targeting immune dysregulation.

This study identified keratins as autoantigens in alopecia areata and found that a tolerogenic form of keratin application delayed disease progression in mice by affecting T-cell responses.

This study found that keratin K1014chim expression in mice did not reduce epidermal cell proliferation but increased susceptibility to benign tumors, challenging previous beliefs about K10's role in inhibiting tumor development.

This study seeks to clarify the terminology and classification of keratoacanthoma and similar squamous cell carcinoma lesions with central keratin-filled craters to aid in accurate differential diagnosis.

This review discusses mathematical correlations in hair restoration surgery but reports no new research findings.

This study proposes a new test for genome-wide association studies that incorporates Hardy-Weinberg equilibrium into SNP analysis, demonstrating improved power and interpretability over traditional methods, as evidenced by simulations and an alopecia study dataset.

This study developed a novel multi-scale image descriptor using dictionaries for classifying histological images, achieving average recall and precision measures of 0.81 and 0.86 in identifying specific skin structures and pathologies.

This study found that keratin K14 expression occurs early in epidermal cell differentiation, while a hair-specific keratin is expressed later in hair matrix cells, suggesting developmental divergence between the two cell types.

This study found that autologous micrografts using AMT® technology effectively improved symptoms and mobility in patients with early-stage knee osteoarthritis, demonstrating safety and potential benefits at 1- and 6-months post-procedure.

This study used machine learning to identify molecular predictors of drug response in alopecia areata, suggesting a tool for predicting treatment efficacy based on gene signatures.

This review discusses the evolution and revision of keratin protein nomenclature in light of genomic discoveries, reporting no new experimental results; the authors propose a new naming system for future keratin publications.

This study found that their newly developed ADRL framework significantly improved the accuracy of scalp tissue layer segmentation in HR-MR images compared to existing methods.