research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
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research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research Utility of GLI1 RNA Chromogenic in Situ Hybridization in Distinguishing Basal Cell Carcinoma From Histopathologic Mimics
GLI1 RNA CISH effectively identifies basal cell carcinoma but is less specific for benign follicular tumors.
research Congress abstracts SPEDM
The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
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 The Knudsen Nomenclature
Dr. Russell Knudsen's system classifies hair grafts by class, shape, and size for clearer communication in hair restoration surgery.
research Revised NPRT Classification System Encompasses Additional Patterns of Male and Female Hair Loss
The updated NPRT system now covers different types of hair loss in men and women.
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 1375 Cutaneous adnexal cysts revisited: A novel classification based on morphological and molecular features
The conclusion introduces a new way to classify skin cysts using their shape and genetic markers.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
research Development of a Classification System for Extrinsic Hair Damage: Standard Grading of Electron Microscopic Findings of Damaged Hairs
Researchers created a standard system to grade hair damage using microscopic images.
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 A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research 451 Spironolactone for treatment of concomitant female pattern hair loss in scarring alopecia patients
Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
A new tool accurately identifies human cornea cell states and key factors.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research Alternative synthesis of the anti-baldness compound RU58841
A new, less toxic and more efficient method to create the anti-baldness compound RU58841 was developed in 2014.
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 Novel Systematics of Nomenclature and Classification of Female Functional Androgenization (Including Polycystic Ovary Syndrome and Non-Classic Congenital Adrenal Hyperplasia)
A new system helps better diagnose and treat female androgenization conditions like PCOS.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
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 Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research Validation of International Classification of Diseases Codes for Dermatologic Conditions
ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.