research Hair follicle stem cells: A new arena
Hair follicle stem cells have significant potential for treating various disorders.
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research DUTASTERIDE AS AN EFFECTIVE TREATMENT IN ANDROGENETIC ALOPECIA – A LITERATURE REVIEW
Dutasteride is more effective than finasteride for hair loss, but more research is needed on safety and dosing.
research Glypican-1, -4 and 6 Participate in the Hair Follicle Stem Cell Differentiation via Specific Interactions with BMP2R, Fz7 and Patched 1
Glypicans help hair follicle stem cells differentiate by interacting with specific receptors, influencing hair growth.
research Actinic Keratosis: Risk Factors, Clinical, Diagnosis and Therapeutics Aspects. Part I
Actinic keratosis is a sun-induced skin condition that can potentially turn into skin cancer and requires various treatments to prevent this.
research Actinic Keratosis: Risk Factors, Clinical, Diagnosis and Therapeutics Aspects. Part I
Actinic keratosis is a sun-induced skin condition that can potentially turn into skin cancer and requires treatment to prevent malignancy.
research Sarcoptic mange outbreak decimates South American camelid populations in San Guillermo National Park, Argentina
A mange outbreak nearly wiped out vicuña and guanaco populations in San Guillermo National Park.
research Effects of Trichosolandtrade; on Increasing the Anagen Phase of the Capillary Cycle of Volunteers
Trichosol™ with Minoxidil can boost hair growth by 20%.
research Pharmacological aspect of Linum usitatissimum:Flax ingestion on hair growth in rabbits
Eating flaxseed made rabbit hair longer and thicker and improved their weight and blood sugar and cholesterol levels.
research Male pattern hair loss: Taking one for the team: The selfless gene
Male pattern hair loss may have evolved to promote younger fathers for offspring health and survival, encouraging monogamy and paternal nurturing.
research Global and exponential stabilization of a chemotactic alopecia areata model with signal-dependent diffusion and sensitivity
Reducing CD8+ T cell growth can stabilize alopecia areata.
research Some progress in global existence of solutions to a higher-dimensional chemotaxis system modelling Alopecia Areata
The system can have a stable solution under certain conditions, helping understand hair loss in Alopecia Areata.
research A computational modelling framework to quantify the effects of passaging cell lines
Passage numbers affect cell growth and experiment results.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Aligning Stem Cell Models and Postmortem Studies to Query Striatal Neurodevelopment in Schizophrenia
Schizophrenia risk genes may affect early brain development, contributing to the disease.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research A proposal for a new design: the exposure–crossover design
The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
research Modeling the Psychiatric Aspects of Polycystic Ovary Syndrome and Induced Stress
Stress and PCOS together may increase depression and anxiety-like behaviors.
research Gene trajectory inference for single-cell data by optimal transport metrics
research Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Modeling Dynamic Hair as a Continuum
The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
research Animal Models of Psoriasis – What Can We Learn from Them?
Rodent models helped understand psoriasis but none perfectly replicated the disease.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Simultaneous Target-Mediated Drug Disposition-Pharmacodynamic (TMDD-PD) Modeling of Finasteride and Dutasteride: Impact of Target Binding and Turnover on Non-linear Pharmacokinetics
Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
research Post-Exposure Syndromes as State-Space Trapping: A set-theoretic perspective on PSSD and the post-exposure family.
Post-exposure syndromes are persistent conditions caused by past exposures, needing unique interventions.
research Animal models for male pattern (androgenetic) alopecia.
The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.