research Reduced SMAD2/3 activation independently predicts increased depth of human cutaneous squamous cell carcinoma
Lower SMAD2/3 activation predicts more severe skin cancer.
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research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
research 1412 “Telescope model” for coordinated organ morphogenesis and stem cell formation
Developing hair follicles form from ring-shaped patterns, with future stem cells originating from the outer ring, not the upper layers, as previously thought.
research Characterizing enteric neurons in Dopamine Transporter (DAT)-Cre reporter mice reveals dopaminergic subtypes with dual-transmitter content
Dopaminergic neurons in the gut have distinct subtypes, some releasing both dopamine and acetylcholine.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Mapping cell dynamics in human ex vivo hair follicles suggests pulling mechanism of hair growth
Hair growth may involve a pulling force from the outer root sheath.
research Role of polymorphism of the androgen receptor gene andnon-random x chromosome inactivation in the pathogenesisof androgenic alopecia
Certain genes and X chromosome patterns may significantly contribute to the development of hair loss.
research Analysis of familial factors using the basic and specific (BASP) classification in Korean patients with androgenetic alopecia
Familial factors affect hair loss types in Koreans, with M type in men, L type in women, and paternal factors influencing male hair loss more.
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 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Synchronizing actin and microtubules for axonal branching
Certain proteins help nerve cells branch, and other findings relate to cancer, stem cell behavior, and cell division.
research Clinical Snippets
Melanoma risk tools need improvement, a gene mutation causes a hair disorder that might be treated by managing cell stress, a potential therapy for a skin-ear disorder involves blocking cell channels, skin wrinkling may indicate lung aging regardless of smoking, and oxidative stress might contribute to common baldness.
research Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
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 Zebrafish Model of Hereditary Pigmentary Disorders
Zebrafish help understand genetic causes of skin pigment disorders like albinism.
research A brief report on PCOS: and its inducing model
PCOS causes hormonal imbalance, leading to symptoms like irregular periods and infertility.
research 303 The role of rare variants in male-pattern hair loss: Analysis of whole exome sequencing data in the UK Biobank
Rare genetic variants in 125 genes are linked to male-pattern hair loss.
research Genetic Variants and Lifestyle Factors in Androgenetic Alopecia Patients: A Case–Control Study of Single Nucleotide Polymorphisms and Their Contribution to Baldness Risk
Genetic factors and diet significantly increase the risk of male pattern baldness.
research Advances in structure-based drug design targeting membrane protein markers in prostate cancer
Computational methods help design drugs targeting prostate cancer proteins.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
research Informàtica i Dret penal: Els delictes relatius a la informàtica
Two new gene mutations cause a rare hair disorder.
research Establishment of Tsc2-deficient rat embryonic stem cells
Tsc2-deficient stem cells can help understand and treat TSC-related tumors.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research Polycystic Ovaries Are Inherited as an Autosomal Dominant Trait: Analysis of 29 Polycystic Ovary Syndrome and 10 Control Families
Polycystic ovaries and early male baldness are inherited traits.
research Update on the Genetics of Androgenetic Alopecia, Female Pattern Hair Loss, and Alopecia Areata: Implications for Molecular Diagnostic Testing
Genetic factors affect hair loss, and molecular testing may help predict, diagnose, and treat it.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research Role of β-Catenin Activation Levels and Fluctuations in Controlling Cell Fate
Proper control of β-catenin activity is crucial for development and preventing diseases like cancer.
research Shared Decision-Making, Therapeutic Choice, and Decisional Regret in Patients With Alopecia Areata
Patients with alopecia areata feel less regret about treatment decisions when they are involved in the decision-making process.
research Integrative study of gene expression and protein complexes
Cell processes depend on time-of-day and protein complex flexibility for skin health.
research New clinico‐genetic classification of trichothiodystrophy
A new classification for trichothiodystrophy helps identify genetic causes and potential treatments.