Publications by authors named "Kagan Tur"
Multi-Modal Machine Learning Approach for COVID-19 Detection Using Biomarkers and X-Ray Imaging.
Diagnostics (Basel)
December 2024
: Accurate and rapid detection of COVID-19 remains critical for clinical management, especially in resource-limited settings. Current diagnostic methods face challenges in terms of speed and reliability, creating a need for complementary AI-based models that integrate diverse data sources. : This study aimed to develop and evaluate a multi-modal machine learning model that combines clinical biomarkers and chest X-ray images to enhance diagnostic accuracy and provide interpretable insights.
View Article and Find Full Text PDFIntroduction: This study aimed to investigate the relationship between the Malnutrition Inflammation Score (MIS) and the C-reactive protein/albumin ratio (CAR) in patients undergoing hemodialysis (HD).
Materials And Methods: Sixty-six End-Stage Renal Disease (ESRD) patients on maintenance hemodialysis were recruited for the study. Malnutrition Inflammation Score, biochemical parameters, and C-reactive protein/albumin ratio were analyzed.
Article Synopsis
- Psoriasis is a long-lasting skin condition characterized by inflammation, and while previous studies have looked at inflammatory markers for diagnosis and monitoring, there hasn't been enough comprehensive research combining both new and traditional markers.
- A study involving 209 participants, including 54 psoriasis patients, identified several potential markers like Uric acid/HDL ratio and CRP, with psoriasis patients showing higher levels of certain markers compared to controls, and some correlations with disease severity were noted.
- Despite the findings, the lack of specificity of these markers hampers their use in practice, but combining them with more specific measures like the PASI score could improve diagnosis and treatment management.