research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
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630-660 / 1000+ resultsresearch Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research What is the best sampling region for endocrine hair analysis? A comparison between the posterior vertex and occipital region and recommendation for standardization
The occipital region is best for measuring cortisol and cortisone, while the posterior vertex is better for OEA, SEA, and PEA.
research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
research Author response: Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes
Moles may stop growing because of cell cooperation, not just because of aging cells.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
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 QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research Rethinking the classification of alopecia areata
The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
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 Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralised, Standardised Imaging
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
research Animal models of alopecia
The best animal model for studying male-pattern baldness is the stumptailed macaque, not rats or mice.
research Global behavior of solutions in a chemotaxis model for alopecia areata with signal-dependent sensitivity
Sparse hairless patches can develop and stabilize in alopecia areata under certain conditions.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.
research Limiting Initial Interest Confusion Claims in Keyword Advertising
Keyword advertising is effective for reaching and targeting consumers.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Coupled 3D reconstruction of sparse facial hair and skin
The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research NEUROSENSORY ECOLOGY IN THE JEB
Different species have unique sensory adaptations to perceive their environments.
research BAYONET trial: staged combination with encorafenib, binimetinib, plus cetuximab following encorafenib plus cetuximab for BRAF V600E-mutant metastatic colorectal cancer
The combination treatment showed a higher response rate but no significant survival benefits.
research Supplementary Material for: Patient Preferences: Results of a German Adaptive Choice-Based Conjoint Analysis (Market Research Study Sponsored by Eli Lilly and Company) in Patients on Palliative Treatment for Advanced Breast Cancer
Quality of life, overall survival, and progression-free survival should be equally prioritized in advanced breast cancer treatment decisions.
research Advanced Scalp Measurement Using a Phototrichogram With a Protractor and Tapeline
The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
research The Use of High-Density SNP Array to Map Homozygosity in Consanguineous Families to Efficiently Identify Candidate Genes: Application to Woodhouse-Sakati Syndrome
Using SNP array testing helped quickly find the gene causing Woodhouse-Sakati syndrome in two related individuals.
research Supplementary Material for: Patient Preferences: Results of a German Adaptive Choice-Based Conjoint Analysis (Market Research Study Sponsored by Eli Lilly and Company) in Patients on Palliative Treatment for Advanced Breast Cancer
Patients with advanced breast cancer prioritize quality of life, overall survival, and progression-free survival in treatment decisions.
research Validation of alopecia coding in US claims data among women of childbearing age
The algorithm accurately identified alopecia in women of childbearing age using claims data.
research PSS38 USE OF CALL CENTRE METHODOLOGY TO COLLECT QUALITY OF LIFE (QOL) DATA IN A CLINICAL TRIAL: A CASE STUDY OF PATIENTS WITH DIABETIC MACULAR EDEMA (DME)
Using a call center to collect data in a trial for eye disease in diabetics led to high response rates and very little missing information.
research METHOD DEVELOPMENT AND VALIDATION OF UV-SPECTROPHOTOMETRIC ESTIMATION OF FINASTERIDE IN BULK AND PHARMACEUTICAL DOSAGE FORM
A reliable, cost-effective method was developed for accurately measuring finasteride in medicines.