research Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction Model
A risk prediction model can help diagnose systemic lupus erythematosus earlier in primary care.
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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 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 Prediction of Therapeutic Outcomes of Female Pattern Hair Loss Patients Based on Clinical Features with Application of Artificial Intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
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 Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
research Epigenetic Age Estimation in Saliva and Buccal Cells
The model accurately predicts age from saliva and buccal cells for forensic use.
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 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 Detecting Shortcut Learning for Fair Medical AI Using Shortcut Testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research Clinical Snippets: Insights into Dermatological Health and Disease
Melanoma risk tools need improvement, certain gene mutations cause skin diseases and could be treated by targeting those mutations, skin wrinkling may relate to lung aging due to genetic factors, and oxidative stress affects hair loss but can be reduced in low oxygen.
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 Genome-Wide Association Meta-Analysis of Individuals of European Ancestry Identifies New Loci Explaining a Substantial Fraction of Hair Color Variation and Heritability
New genetic locations explain much of hair color variation in Europeans.
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 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 Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index, and Serum Androstenedione in Chinese Reproductive-Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-Based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Scalp Disease Analysis Using Deep Learning Models
Deep learning models can analyze scalp diseases effectively.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Hair Follicles as a Critical Model for Monitoring the Circadian Clock
Hair follicles could be used to noninvasively monitor our body's internal clock and help identify risks for related diseases.
research A Systematic Review of Models of Care for Polycystic Ovary Syndrome Highlights the Gap in the Literature, Especially in Developing Countries
The review found that current care models for PCOS are not fully effective and more research is needed, especially in low-income countries.
research Hair Cell Toxicology: With the Help of a Little Fish
Zebrafish larvae are used to study and find treatments for ear cell damage because they are easier to observe and test than mammals.
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 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 Forensic and Legal Medicine
Forensic medicine is crucial for justice and needs continuous innovation and technology integration.
research Dermatological Diseases from a Genetic Perspective
New gene discoveries have improved diagnosis and treatment for skin and hair disorders, but more research is needed to fully understand them.
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 Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.