research Photo-responsive fibers as artificial hairs in an in-vitro model for transdermal drug delivery
Artificial hair fibers improve drug delivery accuracy through skin models.
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60-90 / 1000+ results research ISID0197 - Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research APLICAÇÃO DE PLANEJAMENTO DE EXPERIMENTOS (DoE) PARA OTIMIZAÇÃO DE MÉTODO ANALÍTICO PARA QUANTIFICAÇÃO DE MINOXIDIL POR CLAE
Optimizing the method improved minoxidil measurement accuracy and efficiency.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research 5ARI and PSA: open questions
5ARI treatment improves PSA test accuracy for prostate cancer diagnosis.
research Dermoscopy in female androgenic alopecia: Method standardization and diagnostic criteria
Trichoscopy can diagnose female hair loss with high accuracy by looking for specific patterns in hair and scalp appearance.
research Picogram determination of finasteride in human plasma and semen by high-performance liquid chromatography with atmospheric-pressure chemical-ionization tandem mass spectrometry
Method detects finasteride in plasma and semen with high sensitivity and accuracy.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Polycystic ovary syndrome: Criteria, phenotypes, race and ethnicity
PCOS diagnosis and treatment should consider race and ethnicity for accuracy.
research Primary scalp alopecia: new histopathological tools, new concepts and a practical guide to diagnosis
The document concludes that new methods improve the accuracy of diagnosing scalp alopecia and challenges the old way of classifying it.
research <p>DNA phenotyping: current application in forensic science</p>
DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Ultrasound-Guided Temple Filler Injection
Using ultrasound to guide temple filler injections improves safety and accuracy.
research Raman investigation of in vivo radiation exposure on melanin in murine hair
Raman spectroscopy can detect radiation exposure in mouse hair with high accuracy for up to 7 days.
research Dealing with Loss
The document suggests simplifying alopecia diagnosis and improving techniques for better accuracy.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Representations of Alopecia in Children's Literature
Children's books on alopecia need more medical accuracy and diversity to better support affected kids.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
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.