research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
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research Guest Co-Editors’ Messages
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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 Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research Hair replacement : surgical and medical
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research Development of a Visual Extension of the Severity of Alopecia Tool (VESALT) for Alopecia Areata
VESALT improves alopecia areata assessment by including non-scalp areas and is reliable and user-friendly.
research Co-editors' Messages
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research Exploring the effect of hsa-miR-19b-3p on IL-1R1 expression and serum levels in alopecia areata
Higher levels of IL-1R1 and hsa-miR-19b-3p may help diagnose and predict alopecia areata severity.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Notes from the Editor Emeritus
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research Notes from the Editor Emeritus
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research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research Notes from the Editor Emeritus
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research Novel Missense Mutation in the P-Box of Androgen Receptor in a Patient with Androgen Insensitivity Syndrome
A new mutation linked to partial Androgen Insensitivity Syndrome and prostate cancer was found in a patient unhappy with their female gender assignment.
research The AhR pathway is dysregulated in alopecia areata
Targeting the AhR pathway may help treat alopecia areata.
research Molecular genetics of androgen insensitivity
Mutations in the androgen receptor gene cause different levels of androgen insensitivity, making it hard to create simple tests for the condition.
research Investigation of hub genes and immune infiltration in androgenetic alopecia using bioinformatics analysis
Immune activities and specific genes are important in male pattern baldness.
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Report from the Chair of the Media Relations Committee
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research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Decoding Gut Microbiome Dysbiosis as a Non-Invasive Diagnostic Biomarker for Alopecia Areata
Gut bacteria differences could help diagnose and treat alopecia areata.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Evaluation of ChatGPT Dermatology Responses to Common Patient Queries
ChatGPT can be a helpful dermatology resource but should not replace professional consultations.
research Diagnostic challenges in determining alopecia areata
Diagnosing alopecia areata is challenging and requires careful examination and various tests to distinguish it from other hair loss types.