research Characterization of a new, inducible transgenic mouse model with GFP expression in melanocytes and their precursors
A new mouse model helps study melanocyte cells using GFP expression.
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870-900 / 1000+ resultsresearch Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Pathology of Mouse Models of Accelerated Aging
Progeroid mouse models show signs of early aging similar to humans, helping us understand aging better.
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 Spreading of Isolated Ptch Mutant Basal Cell Carcinoma Precursors Is Physiologically Suppressed and Counteracts Tumor Formation in Mice
External factors can cause skin cancer cells that usually don't spread to grow and form tumors in mice.
research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness
Researchers found 63 genes linked to male-pattern baldness, which could help in understanding its biology and developing new treatments.
research Mutant laboratory mice with abnormalities in hair follicle morphogenesis, cycling, and/or structure: An update
The document concludes that mouse models are crucial for studying hair biology and that all mutant mice may have hair growth abnormalities that require detailed analysis to identify.
research (163) Cutting Costs, Not Care: New Models for Affordable Men’s Health Medications
Using Mark Cuban Cost Plus Drug Company can save money on men's health medications compared to Medicare.
research Transgenic mouse models support HCR as an effector gene in the PSORS1 locus
The HCR gene contributes to psoriasis risk.
research Modeling of ionizing radiation induced hair follicle regenerative dynamics
Hair follicles can regenerate after radiation damage but not during a specific growth phase.
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.
research Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches
Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
research Alopecia areata: Animal models illuminate autoimmune pathogenesis and novel immunotherapeutic strategies
Animal models have helped understand hair loss from alopecia areata and find new treatments.
research BJD Editor's Choice
Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.
research Bioengineering a humanized acne microenvironment model: Proteomics analysis of host responses to Propionibacterium acnes infection in vivo
A new model helps study acne and test treatments.
research Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss in alopecia areata.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Generation of comparative pharmacophoric model for steroidal 5α-reductase I and II inhibitors: A 3D-QSAR study on 6-azasteroids
The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
research Identifying the Target Cells and Mechanisms of Merkel Cell Polyomavirus Infection
Human dermal fibroblasts are the main cells targeted by a virus that can cause a deadly skin cancer, and a certain inhibitor can effectively block this infection.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research Screening of depigmenting compounds for the development of an alternate method of branding beef cattle1
None of the tested compounds created a permanent mark on cattle.
research The exploration of mitochondrial‐related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer
Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.
research Determining the Relationship Among Cattle Genotype, Hair Coat Score, and Productivity Through the Investigation of Single Nucleotide Polymorphisms within Prolactin, Dopamine Receptor D2, and Melatonin Receptor 1A
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.