research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
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research Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
research A Review of Herbal Medications for the Treatment of Alopecia
Herbal medications might be safer and more effective for hair loss than synthetic treatments.
research Prediction of Male-Pattern Baldness from Genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Go With the Flow: Improving Storm Surge Predictions and Advances in Male-Pattern Baldness Treatment
New app improves storm surge predictions; advances in baldness treatment show potential but require time.
research Uncovering the Genetic Architecture and Evolutionary Roots of Androgenetic Alopecia in African Men
The research found that genetic factors for male pattern baldness in African men differ significantly from those in Europeans.
research The Endocrinology of Baldness
Hormones and genetics play key roles in male and female baldness, which can affect mental health and may be linked to other health issues.
research Role of Genetics and Sex Steroid Hormones in Male Androgenetic Alopecia and Female Pattern Hair Loss: An Update
Genetics and hormones play a role in male and female hair loss, but more research is needed to fully understand it.
research Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Finasteride Inhibits 5α-Reductase Activity in Human Dermal Fibroblasts: Prediction of Its Therapeutic Application in Androgen-Related Skin Diseases
Finasteride helps treat skin issues like acne and baldness by blocking testosterone conversion.
research The Prediction of Hairfall Pattern in a Person Using Artificial Intelligence for Better Care and Treatment
AI can predict hair loss patterns to improve care and treatment.
research Identification of N6-Methyladenosine-Related Factors and the Prediction of the Regulatory Mechanism of Hair Follicle Development in Rex and Hycole Rabbits
N6-methyladenosine affects hair follicle development differently in Rex and Hycole rabbits.
research Clinical Snippets: Melanoma Risk Prediction, Monilethrix Mutation, Keratitis-Ichthyosis-Deafness Syndrome, Skin Wrinkling and Lung Aging, Oxidative Stress in Androgenetic Alopecia
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 Predicting Human Appearance Traits Based on DNA Markers for Forensic and Criminal Purposes
DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
research The Rotterdam Study: 2016 Objectives and Design Update
The Rotterdam Study found risk factors for elderly diseases, links between lifestyle and genetics with health conditions, and aimed to explore new areas like DNA methylation and sensory input effects on brain function.
research DNA Phenotyping: Current Application in Forensic Science
DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
research Active Anti-Alopecia Chemical Identification of Merremia Peltata Leaves and Computational Study Toward Androgen Receptor Using Molecular Docking and Molecular Dynamic Simulation
Merremia peltata leaf extract, particularly the bufotalinin compound, shows potential for treating hair loss.
research Deep Review on Alopecia Areata Diagnosis for Hair Loss-Related Autoimmune Disorder
Machine learning and deep learning can effectively diagnose alopecia areata.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research 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 Analysis of 72,469 UK Biobank Exomes Links Rare Variants to Male-Pattern Hair Loss
Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.
research Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Losing Hair, Losing Points? The Effects of Male Pattern Baldness on Social Impression Formation
Bald men are often viewed more negatively and as older than they really are.
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 Dissection of Genetic Variation and Evidence for Pleiotropy in Male Pattern Baldness
Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.
research GWAS for Male-Pattern Baldness Identifies 71 Susceptibility Loci Explaining 38% of the Risk
Researchers found 71 genetic regions linked to male pattern baldness, which account for 38% of its genetic risk.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and an Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research In Silico Prediction of Prostaglandin D2 Synthase Inhibitors from Herbal Constituents for the Treatment of Hair Loss
Herbal compounds like ricinoleic acid, quercetin-3-O-rutinoside, and hinokiflavone may be safe and effective for treating hair loss.
research Alterations in Pattern Baldness According to Sex: Hair Metabolomics Approach
Hair loss causes differ between men and women due to changes in hormone levels and inflammation-related pathways.