research Using risk analysis to guide changes to compounding formulae
Risk analysis is important for safely adjusting pharmaceutical formulas while maintaining their quality and effectiveness.
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research High-throughput phenotyping methods for quantifying hair fiber morphology
Hair fiber shape and curvature are not significantly linked when ancestry is considered.
research Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research BJD Editor's Choice
Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.
research Neonatal screening in Sweden and disease-causing variants in phenylketonuria, galactosaemia and biotinidase deficiency
The Swedish neonatal screening program effectively detects PKU, galactosaemia, and biotinidase deficiency with low false positives.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
Researchers developed a new, precise method to measure hair loss in mice using image analysis.
research Método para avaliação quantitativa da eficácia de tratamentos para queda de cabelo mediante análise de imagens: estudo preliminar
The method is effective for evaluating hair loss treatments quickly and affordably.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
research Predictors of Future Anxiety about Male Pattern Baldness in New Zealand Males
Future anxiety about male pattern baldness is linked to personality traits and social perceptions.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research Transforming 300 billion points of data into diagnostics, therapeutics and new insights into disease
Large data can lead to new medical discoveries and personalized medicine.
research Isotope Dilution-Based Targeted and Nontargeted Carbonyl Neurosteroid/Steroid Profiling
Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research A new classification of pattern hair loss that is universal for men and women: Basic and specific (BASP) classification
The BASP classification is a detailed and accurate way to categorize hair loss in both men and women.
research Scattering from Elliptical Hair Fibers Based on Microfacet Theory
research Peer Review #1 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
research Development of search strategies for systematic reviews: validation showed the noninferiority of the objective approach
The objective approach for creating search strategies is as effective as the traditional method and might be better and more efficient.
research Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
research A probabilistic Boolean model on hair follicle cell fate regulation by TGF-β
TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
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 Psycho-physiologic emergentism; four minds in a body
The brain may create four separate minds, each with its own mental reality.
research Berardinelli–Seip syndrome
Early diagnosis and treatment are crucial for managing Berardinelli–Seip syndrome.
research 397 Predictive modeling of drug response and mechanism of action in alopecia areata clinical trials
Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Consumer Acceptance and Market Potential of Natural Organic Cosmetic Formulations in the US Market
Natural organic cosmetics with high natural content and patent labeling are popular and profitable in the US market.