Search
for
Sort by
Research 30 of 1000+
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- 198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Artificial Intelligence in Patient Education for Androgenetic Alopecia: A Comparative Study of ChatGPT, Gemini, and Deepseek R1
- Trends and techniques: a statistical review of hair care product evaluation research
- Hair cluster detection model based on dermoscopic images
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Gut–ovary axis and multiomic insights into PCOS in a DHEA-induced rat model
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Construction strategies of skin organoids: A review
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Publicly Available Large Language Models for Trichoscopy: A Head-to-Head Comparison with Dermatologists
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- Current Protocols: Alopecia Areata Mouse Models for Drug Efficacy and Mechanism Studies
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Genetic Prediction of Eye, Hair, and Skin Color: Forensic Applications and Challenges in Latin American Populations
- A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery
- Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Smart Diagnostic System for Health Risk Assessment
- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information