AIMC Topic: Psoriasis

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Image-based remote evaluation of PASI scores with psoriasis by the YOLO-v4 algorithm.

Experimental dermatology Apr 1, 2024
As a chronic relapsing disease, psoriasis is characterized by widespread skin lesions. The Psoriasis Area and Severity Index (PASI) is the most frequently utilized tool for evaluating the severity of psoriasis in clinical practice. Nevertheless, long...
Humans Deep Learning Algorithms Image Processing, Computer-Assisted Severity of Illness Index Psoriasis
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[Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To screen for the key characteristic genes of the psoriasis vulgaris (PV) patients with different Traditional Chinese Medicine (TCM) syndromes, including blood-heat syndrome (BHS), blood stasis syndrome (BSS), and blood-dryness syndrome (B...
Psoriasis Machine Learning Support Vector Machine Algorithms Medicine, Chinese Traditional Gene Expression Profiling Humans Computational Biology
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Real-World Screening Data for Liver Fibrosis in Psoriasis Patients Treated with Biologics.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi Jan 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is positively associated with the prevalence and severity of psoriasis. The fibrosis-4 (FIB-4) index was developed to predict significant liver fibrosis. Using the FIB-4 ind...
Biological Products Mass Screening Psoriasis Male Middle Aged Humans Severity of Illness Index Female Aged Liver Cirrhosis Adult
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Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

Journal of drugs in dermatology : JDD Dec 1, 2020
BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired during a treatment or else present itself from the beginning. To date, no biomarkers are known that may reliably guide clinicians in predicting respons...
Pilot Projects Time Factors Severity of Illness Index Deep Learning Antibodies, Monoclonal, Humanized Psoriasis Biological Products Injections, Subcutaneous Treatment Outcome Female Adult Male Middle Aged Models, Immunological Predictive Value of Tests Humans Drug Resistance Biomarkers Prospective Studies Prognosis
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Using Neural Networks for Diagnosing in Dermatology.

Studies in health technology and informatics Jan 1, 2019
The paper deals with neural networks for decision support in diagnosing in dermatology. There were several iterations during development. We classified six diseases using ANN: (1) Psoriasis, (2) Seborrheic dermatitis, (3) Lichen planus, (4) Pityriasi...
Psoriasis Neural Networks, Computer Dermatitis, Seborrheic Humans Diagnosis, Differential Diagnosis, Computer-Assisted Dermatology Lichen Planus
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Serum Concentrations of Interferon Gamma (IFN-γ) in Patients with Psoriasis: Correlation with Clinical Type and Severity of the Disease.

Medical archives (Sarajevo, Bosnia and Herzegovina) Dec 1, 2018
INTRODUCTION: The etiopathogenesis of psoriasis is still unclear but there is evidence that many of cytokines released by keratinocytes and inflammatory leukocytes may contribute to the induction or persistence of the inflammatory process in psoriasi...
Severity of Illness Index Inflammation Enzyme-Linked Immunosorbent Assay Aged Humans Psoriasis Male Interferon-gamma Young Adult Middle Aged Adult Biomarkers T-Lymphocytes Female
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