research Alopecia areata incognita
Alopecia Areata Incognita causes widespread hair thinning, and treatment with systemic corticosteroids and psychiatric support can lead to remission.
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270-300 / 1000+ results research Mathematical model for alopecia areata
The model showed that immune system guardians and the cytokine interferon-γ are key in alopecia areata progression.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
research Alopecia Areata
Understanding the immune-related causes of Alopecia Areata has led to potential treatments like JAK inhibitors.
research Exosome Revolution or Marketing Mirage? AI-Based Multi-domain Evaluation of Claims, Scientific Evidence, Transparency, Public Sentiment, and Media Narratives
research The pathogenesis model research of alopecia areata: from animal experiments to mathematical prediction models
Animal and mathematical models help understand and develop treatments for alopecia areata.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Analysing the dynamics of a model for alopecia areata as an autoimmune disorder of hair follicle cycling
The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.
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 Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Alopecia Areata: A Complex Cytokine Driven Disease
Alopecia areata is a hair loss disease caused by complex immune reactions, and new targeted treatments show promise.
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 Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
research Autoantigen Discovery in the Hair Loss Disorder, Alopecia Areata: Implication of Post-Translational Modifications
New protein changes may be involved in the immune attack on hair follicles in alopecia areata.
research A six-year old girl presenting with alopecia areata incognita: a case report
A six-year-old girl unusually had a hair loss condition common in middle-aged women.
research 26 Characterization of a murine model of aa induced by adoptive transfer of cultured lymph node cells
The study developed a mouse model for Alopecia Areata that responds to treatment, useful for future research.
research A “hair‐raising” history of alopecia areata
The document concludes that understanding and treatments for alopecia areata have significantly advanced, now recognizing it as an autoimmune disorder.
research 397 Predictive modeling of drug response and mechanism of action in alopecia areata clinical trials
Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
research Alopecia areata
Alopecia areata is an autoimmune condition causing hair loss, influenced by genetics, stress, and diet, and may be prevented by a high soy oil diet.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Use of Robotic Systems in Aesthetic/Cosmetic Plastic Surgery—A Review Article
Robotic systems in cosmetic surgery are promising but need more development and research.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Alopecia Areata: Updates from the Mouse Perspective
Mouse models help understand alopecia areata and find treatments.
research Examining the Relationship between Alopecia Areata, Androgenetic Alopecia, and Emotional Intelligence
Alopecia patients struggle with emotions and stress, and improving emotional intelligence may help manage hair loss.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research A transcriptomic map of murine and human alopecia areata
Alopecia areata involves specific immune cells, offering potential treatment targets.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.