Research Insights

This section focusses on the cutting-edge research and findings in the various disciplines of healthcare around the world.

Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort

Left ventricular systolic dysfunction LVSD in Chagas disease ChD is relatively common and its treatment using lowcost drugs can improve symptoms and reduce mortality Recently an artificial intelligence AIenabled ECG algorithm showed excellent accuracy to detect LVSD in a general population but its accuracy in ChD has not been tested

Neutralizing antibody responses over time in demographically and clinically diverse individuals recovered from SARS-CoV-2 infection in the United States and Peru: A cohort study

People infected with Severe Acute Respiratory Syndrome Coronavirus SARSCoV experience a wide range of clinical manifestations from asymptomatic and mild illness to severe illness and death influenced by age and a variety of comorbidities Neutralizing antibodies nAbs are thought to be a primary immune defense against the virus Large diverse wellcha...

Hypertension awareness, treatment, and control and their association with healthcare access in the middle-aged and older Indian population: A nationwide cohort study

Hypertension is the most important cardiovascular risk factor in India and representative studies of middleaged and older Indian adults have been lacking Our objectives were to estimate the proportions of hypertensive adults who had been diagnosed took antihypertensive medication and achieved control in the middleaged and older Indian population

Nucleoporin TPR promotes tRNA nuclear export and protein synthesis in lung cancer cells

The robust proliferation of cancer cells requires vastly elevated levels of protein synthesis which relies on a steady supply of aminoacylated tRNAs Delivery of tRNAs to the cytoplasm is a highly regulated process but the machinery for tRNA nuclear export is not fully elucidated In this study using a live cell imaging strategy that visualizes nasce...

Cancer Risk in Individuals with Intellectual Disability in Sweden: A Population-Based Cohort Study

Intellectual disability ID is a lifelong impairment of cognition and adaptive behavior that emerges in childhood affects around of the world population and is associated with increased morbidity and mortality For instance individuals with ID generally have an abnormal level of intelligence quotient IQ under and deficiency in at least adaptive...

Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms

Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high prevalence resulting in significant health care costs At present the pathogenesis and effective treatment of tendinopathy are still not sufficiently elucidated The purpose of this research is to intensely explore the genes functional pathways

Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks

The analysis of brainimaging data requires complex processing pipelines to support findings on brain function or pathologies Recent work has shown that variability in analytical decisions small amounts of noise or computational environments can lead to substantial differences in the results endangering the trust in conclusions

Computer tomography guided thoracoscopic resection of small pulmonary nodules in the hybrid theatre

Thoracic surgeons are currently asked to resect smaller and deeper lesions which are difficult to detect thoracoscopically The growing number of those lesions arises both from lung cancer screening programs and from followup of extrathoracic malignancies This study analyzed the routine use of a CTaided thoracoscopic approach

Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study

AliM an artificial intelligence program analyzes chest computed tomography CT and detects the likelihood of coronavirus disease COVID based on scores ranging from to However AliM has not been externally validated Our aim was to evaluate the accuracy of AliM for detecting COVID and discuss its clinical value

Intra-individual variation of upper airway measurements based on computed tomography

The aims of this study were to quantify the intraindividual variation in the upper airway measurements on supine computed tomography CT scans at two different time points and to identify the most stable parameters of the upper airway measurements over time Ten subjects with paired CT datasets months interval were studied using

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