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Thousands of strain-specific whole-genome sequences are now available for a wide range of pathogenic bacteria. Using these data, approaches based on machine learning can now be used to predict the results of antimicrobial susceptibility tests from sequence alone. Recent studies have demonstrated the ability to predict minimum inhibitory concentrations with accuracies up to 95 %. Employing […]
Researchers at the University of Illinois at Chicago and Queensland University of Technology of Australia have developed a device that can isolate individual cancer cells from patient blood samples. The microfluidic device works by separating the various cell types found in blood by their size. The device may one day enable rapid, cheap liquid biopsies […]
Skin autofluorescence predicts incident type 2 diabetes, cardiovascular disease and mortality in the general populationvan Waateringe RP, Fokkens BT, Slagter SN, van der Klauw MM, van Vliet-Ostaptchouk JV, et al. Diabetologia 2019; 62(2): 269–280 AIMS/HYPOTHESIS: Earlier studies have shown that skin autofluorescence measured with an AGE reader estimates the accumulation of AGEs in the skin, which […]
Dementia is one of the leading causes of disability in old age and places a huge burden on society. The growing prevalence of dementia calls for accurate, more accessible biomarkers to facilitate clinical diagnosis and prognosis. Peripheral mediums, such as blood and blood derivates (i.e. plasma and platelets), are currently being investigated for their potential […]
The recent introduction of the CellaVision DC-1 makes it possible for small labs to implement the same digital methodology for performing blood cell differentials that is commonly used by large laboratory organizations. CellaVision recently teamed up with Alberta Public Laboratories (APL) to conduct an in-situ product evaluation assessing the utility and impact of CellaVision DC-1 […]
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