research Modeling Oxidative Stress–Linked Telogen Effluvium: A Monte Carlo Simulation Using Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis exposure may worsen hair loss.
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120-150 / 1000+ results 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 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 Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research The Trotter collection: A review of Mildred Trotter 's hair research and an update for studies of human variation
Hair traits vary widely and are not reliable indicators of ancestry.
research Bayesian Hidden Markov Modelling of Blood Type Distribution for Covid-19 Cases Using Poisson Distribution
Blood type affects COVID-19 infection rates differently in Europe and Africa.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research A human prenatal skin cell atlas reveals immune cell regulation of skin morphogenesis
Immune cells are essential for early hair and skin development and healing.
research Finding Long-COVID: Temporal Topic Modeling of Electronic Health Records from the N3C and RECOVER Programs
Long-COVID has diverse, long-term health impacts, especially in young people.
research Identification of Distinct Immune Signatures and Chemokine Networks in Scalp Inflammatory Diseases
Different immune responses cause hair loss in scalp diseases, with unique patterns in scalp psoriasis possibly protecting against hair loss.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research 139 Identification of long noncoding RNAs in mouse hair follicle stem cells using computational methods
Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
research Estudo da diversidade dos genes MC1R e SLC24A5 em populações globais: avaliação de aspectos evolutivos e ambientais
SLC24A5 shows a clear selective sweep, but no link to UV radiation intensity.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Molecular mechanisms underlying cashmere quality differences between Jiangnan cashmere goats and Changthangi pashmina goats
Cashmere quality differences are due to gene expression variations affecting hair development and adaptation to cold.
research Di-Genic Inheritance in Genodermatoses: Insights from Two Consanguineous Cases in a Reference Lebanese Center within the Middle East and North Africa (MENA) Region
A new genetic model may improve treatment and diagnosis for certain inherited skin diseases.
research Association between hemoglobin A1c and the severity of androgenetic alopecia among female patients in a specialty alopecia clinic
Higher blood sugar levels may lead to more severe hair loss in women.
research The effect of human lyophilized growth factors versus platelet rich plasma injection on hair transplantation outcome in the crown area of the scalp in men with androgenetic alopecia
LGFs slightly improve hair transplant results more than PRP.