research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
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210-240 / 1000+ resultsresearch Author response: A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning
Understanding hair follicle interactions can help treat male pattern baldness.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research Protein Evaluations of Yeast Grown on Wood Hydrolyzate
Yeast grown on wood sugar with added methionine could be a cheap alternative to animal protein for feed.
research [Wooly hair syndrome. Clinical and microscopic study].
Woolly hair syndrome is a genetic condition causing frizzy, fragile hair.
research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research Self-consistent field theory for the interactions between keratin intermediate filaments
Keratin filaments' elasticity is influenced by their terminal domains and surrounding medium.
research Network pharmacology analysis and experimental evaluations of YH complex on androgenetic alopecia by regulating the androgenic‐apoptotic axis
The YH complex, made from certain plant extracts, effectively promotes hair regrowth and could be a potential treatment for hair loss.
research TESTOSTERONE-INDUCED ANDROGENETIC ALOPECIA MICE MODEL: A PRELIMINARY STUDY
A testosterone-induced hair loss model in mice was successfully created for future research and treatment testing.
research The Pathogenesis of Alopecia Areata in Rodent Models
Alopecia Areata is an autoimmune disease affecting hair follicles, influenced by genetic and environmental factors, with rodent models being essential for research.
research Structural analysis of human hair single fibres by scanning microbeam SAXS
Hair curliness is due to uneven distribution of different cortices within the hair fiber.
research Работы Выготского и их переводы: к вопросу о некоторых понятиях
Autogenic PRP improves graft viability more than xenogenic PRP, but both are effective.
research How a reaction-diffusion signal can control spinal cord regeneration in axolotls: A modeling study
Axolotl spinal cord regeneration may be controlled by a specific signal affecting cell sensitivity and diffusion.
research Development and Qualification of a Physiologically Based Pharmacokinetic Model of Finasteride and Minoxidil Following Scalp Application
The model can help predict how finasteride and minoxidil work when applied to the scalp.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research The Role of PPARβ/δ-Related Lipid Metabolism in High-Altitude Adaptation of Yak Coat Based on Proteomics and Metabolomics
PPARβ/δ helps yaks adapt to high altitudes by regulating lipid metabolism in their coats.
research Distinguishing Three Classes of Androgenetic Alopecia based on Concerns in Youth: Latent Class Analysis of a Cross-Sectional Survey
Greater concern about hair loss is linked to more severe hair loss and worse quality of life.
research 577 The role of YAP1 in regeneration of human skin and in pathological states
YAP1 is important for skin regeneration and may affect skin disorder treatments.
research The cycling hair follicle as an ideal systems biology research model
The hair follicle is a great model for research to improve hair growth treatments.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research Histologic absence of yeast as a clue for classic lichen planopilaris, fibrosing alopecia in a pattern distribution, and frontal fibrosing alopecia: A cross-sectional observational study
research Third International Research Workshop on Alopecia Areata
Alopecia areata is complex, with genetic and immune factors, and animal models are key for future treatment research.
research The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression
3D skin models better mimic human skin and melanoma progression than older methods.
research Exploring the effects of wetting and free fatty acid deposition on an atomistic hair fiber surface model incorporating Keratin Associated Protein 5-1
Water and fatty acids affect hair's surface differently based on hair damage, and models can help understand hair-cosmetic interactions.
research Cyberbabes: (Self-) representation of women and the virtual male gaze
To stop online sexism, both men and women need to change how they act.
research Disulfide Cross-Linked Network Structure of Intermediate Filament and Matrix in Hair and Wool Cortices
Hair and wool strength is affected by the number and type of bonds in their protein structures, with hair having more protein aggregates than wool.
research 246 Development of an assessment tool for psychological health and help-seeking in alopecia areata patients in underserved communities
The document concludes that a new questionnaire to assess mental health in alopecia patients shows low rates of seeking mental health services and support groups.
research Resequencing and Signatures of Selective Scans Point to Candidate Genetic Variants for Hair Length Traits in Long-Haired and Normal-Haired Tianzhu White Yak
The research found specific genes that may cause longer hair in Tianzhu White Yak.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.