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research Hair diseases
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research Alopecia areata incognita: clinical characteristics and use of the Sinclair shedding scale
The Sinclair Shedding Scale is effective for diagnosing Alopecia Areata Incognita and monitoring treatment success.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research Clinical Assessment of Alopecia Areata Severity and Validating the Patient Experience: A Vodcast
Clinicians should use evidence-based tools and consider mental health when assessing alopecia areata to guide treatment.
research Alopecia Areata Incognita and Diffuse Alopecia Areata: Clinical, Trichoscopic, Histopathological, and Therapeutic Features of a 5-Year Study
The study concluded that AAI and DAA are forms of the same disease, with different symptoms in men and women, and that corticosteroid treatment is effective.
research Supplementary materials for AGA
research Supplementary materials for AGA
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research ISHRS: Expanding FUE Education
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research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Diagnostic Significance of MIG (Monokine Induced by Gamma Interferon) and IP-10 (Interferon gamma-induced protein 10) Chemokines in Alopecia Areata
Higher levels of MIG and IP-10 may help diagnose and monitor Alopecia Areata.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Identification of a Novel Three-immunogene Diagnostic Signature for Alopecia Areata
A new diagnostic model can help better diagnose and understand Alopecia Areata.
research Development of the AAcQLI : A New Instrument for Assessing Quality of Life in Children With Alopecia Areata
research Alopecia areata incognita
Alopecia Areata Incognita causes widespread hair thinning, and treatment with systemic corticosteroids and psychiatric support can lead to remission.
research Issue Information
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research Pearls of Wisdom
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research Large-Scale Epitope Identification Screen and Its Potential Application to the Study of Alopecia Areata
The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.
research The Alopecia Areata Severity and Morbidity Index (ASAMI) Study
Alopecia areata severity is influenced by factors like long disease duration, relapses, treatment response, and mental health, leading to the creation of a new severity measurement tool.
research The Anti-Aging Effects of Adipose-Derived Mesenchymal Stem Cell Exosomes on Skin and Their Potential for Personalized Skincare Applications
Adipose-derived stem cell exosomes and AI can improve personalized skincare by offering anti-aging benefits and precise product customization.
research 080 Mouse models of alopecia areata: C3H/HeJ mice versus the humanized AA mouse model
The humanized AA mouse model is better for testing new alopecia areata treatments.
research Evaluating statistics in clinical trials: Making the unintelligible intelligible
Doctors need to understand statistics to properly evaluate clinical trials for patient care.
research Integrated Business Intelligent System for E-Health: A Case for Dermatology Diseases
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research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research Association between air quality index and risk of alopecia areata: A nationwide population-based cohort study
Higher air pollution increases the risk of alopecia areata.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.