research Defining the Short-Term and Long-Term Skin Manifestations of COVID-19: Insights After More Than Three Years of the Pandemic
COVID-19 can cause various skin issues, but long-term skin problems are rare.
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research Efficacy, Safety, and Pharmacoeconomics of Three Common Strategies for Pediatric Alopecia Areata Patients: A Retrospective Cohort Study
Traditional treatment for pediatric alopecia areata is most effective and should be first choice.
research Genotyping Of The Rs1800440 Polymorphism In CYP1B1 Gene And The Rs9258883 Polymorphism In HLA-B Gene In A Spanish Cohort Of 223 Patients With Frontal Fibrosing Alopecia
Certain genetic variants are linked to frontal fibrosing alopecia in Spanish patients.
research TCM Medicine and Food Homology in the Management of Post-COVID Disorders
Traditional Chinese medicinal foods may help manage long-term post-COVID symptoms.
research Assessment of Serum Levels of Antigliadin Antibodies (IgG and IgA) in Patients with Alopecia Areata and Their Relation to Severity of the Disease
Higher antigliadin antibodies are linked to more severe alopecia areata, suggesting screening for celiac disease in these patients.
research Adiantum Capillus-Veneris and Respiratory Diseases
Adiantum capillus-veneris may help with respiratory issues, but more research is needed.
research Guadalupe Fur Seal Alopecia: A Metabolic Syndrome Associated to Climatic Anomalies?
Climate-related nutritional stress may cause hair loss in juvenile male Guadalupe fur seals.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research A Review on Forensic Toxicological Analysis of Drugs in Hair Using Various Instrumental Techniques
Hair analysis is better than urine and blood for detecting past drug use.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-Based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.