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Research 31–60 of 1000+
- Enhanced Hair Disease Classification Using Deep Learning
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Hair Color Digitization through Imaging and Deep Inverse Graphics
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- A machine learning and network framework to discover new indications for small molecules
- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
- Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Machine learning for nanozyme development in anti‐inflammatory applications
- Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
- Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning
- LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
- Machine Learning–Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated with Minoxidil
- Machine Learning–Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated with Minoxidil
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Function-driven geometry directs human pilosebaceous unit development
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors