Publications by authors named "M Karla"
Article Synopsis
- The study investigates how well specific features of carotid plaque can predict the risk of coronary artery disease (CAD) and cardiovascular (CV) events using deep learning (DL) compared to traditional machine learning (ML).
- It involved 459 participants who underwent various imaging techniques, and metrics like maximum plaque height and intraplaque neovascularization were analyzed over a period of 30 days.
- The results revealed that DL models significantly outperformed ML models in predicting CV events, with intraplaque neovascularization being a key indicator for increased risk.
Biofilters coupled to microbial fuel cells (MFCs) are the most integral treatment technology that generate water-energy nexus for rural zones sanitation. Moreover, biofilters coupled to MFCs, using organic residues as bed filter have not been studied. Therefore, the aim of this study was comparatively to evaluate biofilters based on corncobs/sawdust coupled to MFCs treating domestic wastewater.
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- - In December 2019, COVID-19 emerged in Wuhan, leading to a global pandemic and prompting studies to analyze its effects, particularly through CT imaging of pneumonia severity.
- - A retrospective study examined 218 patients with confirmed COVID-19, dividing them into ICU and non-ICU groups to assess chest CT patterns and related clinical data, revealing distinct differences in demographics and health conditions.
- - ICU patients showed more severe CT findings like consolidation and bilateral opacities, alongside higher rates of comorbidities and abnormal lab results, indicating that CT features can help evaluate disease severity and inform treatment.
Aim: To further improve the endoscopic detection of intestinal mucosa alterations due to celiac disease (CD).
Methods: We assessed a hybrid approach based on the integration of expert knowledge into the computer-based classification pipeline. A total of 2835 endoscopic images from the duodenum were recorded in 290 children using the modified immersion technique (MIT).
Background: It has been hypothesized that the n-6:n-3 (ω-6:ω-3) long-chain polyunsaturated fatty acid (LCPUFA) ratio in the maternal diet during the prenatal and early postnatal phase positively affects the body composition of the offspring. However, only limited data from prospective human intervention studies with long-term follow-up are available.
Objective: We assessed the long-term effects of a reduced n-6:n-3 LCPUFA ratio in the diets of pregnant and lactating women [1020 mg docosahexaenoic acid (DHA) plus 180 mg eicosapentaenoic acid (EPA)/d together with an arachidonic acid-balanced diet compared with a control diet] on the body weights and compositions of their offspring from 2 to 5 y of age with a focus on the 5-y results.