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270-300 / 1000+ resultsresearch Hair transparency decoding in Asia: From stylists’ perception to in vitro measurement
Higher hair luminosity and shine mean higher perceived transparency.
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 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 Kudos
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research Pearls of Wisdom
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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 Editors' Messages
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research Editors' Messages
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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 Pearls of Wisdom
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research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
GPT-4 performs well on medical exams but still needs human doctors for critical thinking.
research A transcriptomic map of murine and human alopecia areata
Alopecia areata involves specific immune cells, offering potential treatment targets.
research Devices and genomic therapies
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research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
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 QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Evaluating statistics in clinical trials: Making the unintelligible intelligible
Doctors need to understand statistics to properly evaluate clinical trials for patient care.
research 49147 Comparing the Quality of ChatGPT- and Physician-Generated Responses to Patients' Dermatologic Questions in the Electronic Medical Record
Physician responses are better than ChatGPT for dermatology questions.
research Dermatologist and Patient Perceptions of Treatment Success in Alopecia Areata and Evaluation of Clinical Outcome Assessments in Japan
Both dermatologists and patients in Japan agree that treatment success for alopecia areata is having 20% or less scalp hair loss.
research The BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) glossary: developing a lingua franca to facilitate data harmonization and cross‐cohort analyses
The BIOMAP glossary standardizes data to improve research on atopic dermatitis and psoriasis.
research Breakdown of Immune Tolerance in AIRE-Deficient Rats Induces a Severe Autoimmune Polyendocrinopathy–Candidiasis–Ectodermal Dystrophy–like Autoimmune Disease
AIRE-deficient rats developed severe autoimmune disease similar to APECED, useful for testing treatments.
research Alopecia areata incognita
Alopecia Areata Incognita causes widespread hair thinning, and treatment with systemic corticosteroids and psychiatric support can lead to remission.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research 115 AE法による実機水車発電機軸受の診断(セッション4 評価・診断II)
KSR1 is crucial for certain skin tumor formation and could be a cancer therapy target.
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 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 Alopecia Areata: Updates from the Mouse Perspective
Mouse models help understand alopecia areata and find treatments.
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.