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- Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
- 3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- Advancements in Dermatological Imaging Modalities
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- A machine learning and network framework to discover new indications for small molecules
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
- Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Machine learning‐guided multi‐omics suggests iron‐dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
- Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
- Prediction of Alopecia Areata using CNN
- Ewha Medical Journal’s inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue
- The role of 3Rs in the age of One Health: where we are and where we’re going
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2