research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
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30 / 1000+ results 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.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
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 Genetic Prediction of Eye, Hair, and Skin Color: Forensic Applications and Challenges in Latin American Populations
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
research Genetic predictors of testosterone and their associations with cardiovascular disease and risk factors: A Mendelian randomization investigation
Testosterone is linked to cardiovascular risk factors and stroke, but its exact role is unclear.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies
Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
research Clinical and genetic predictors of persistent chemotherapy-induced alopecia despite scalp cooling in breast cancer
Tamoxifen increases the risk of lasting hair loss after chemotherapy despite scalp cooling.
research RETRACTED: Thyroid Dysfunction and Alopecia Areata: A Genetic Prediction Causality Analysis Study
The study initially suggested a genetic link between thyroid issues and hair loss.
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 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 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 Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
Darker hair may lead to higher cortisol readings, suggesting a need to adjust for hair color in studies.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research A perspective on predictive markers of alopecia
Certain immune molecules and stress affect hair loss, and while genes play a role, more research is needed to fully understand and treat it.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
Female pattern hair loss is linked to genetics, family history, and lifestyle factors.
research Uncovering the genetic architecture and evolutionary roots of androgenetic alopecia in African men
Genetic predictions of baldness in Europeans don't apply well to African men.
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.
research Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
A higher genetic risk score increases the chance of getting benign prostatic hyperplasia and affects treatment outcomes in Han Chinese men.
research Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
Hair greying is mainly influenced by age, with genetics playing a smaller role.
research Improving human forensics through advances in genetics, genomics and molecular biology
DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.
research Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
Female Pattern Hair Loss is linked to genetics, diet, stress, and certain health conditions.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Predicting Human Appearance from DNA for Forensic Investigations
DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
research 26-SNP Panel Aids Guiding Androgenetic Alopecia Therapy and Provides Insight into Mechanisms of Action
Genetic profiling can improve androgenetic alopecia treatment by predicting drug response and minimizing side effects.