Deep learning model improves radiologist diagnostic performance in colon cancer screening

A study by the Technical University of Munich researchers evaluated the use of a deep learning algorithm to differentiate between colon cancer and acute diverticulitis on CT images and its impact on radiologists’ performance. The 3-D convolutional neural network reached a sensitivity of 83.3% and specificity of 86.6% compared to the average reader sensitivity of… Continue reading Deep learning model improves radiologist diagnostic performance in colon cancer screening

A new computational model to predict patient-specific growth of glioblastoma multiforme

Researchers at the University of Waterloo and the University of Toronto have developed a new computational model to predict the growth of glioblastoma multiforme (GBM) more accurately. The proliferation-invasion (PI) model is a mathematical model commonly used to describe the growth of glioblastoma multiforme (GBM). It relies on known values of two key parameters, the… Continue reading A new computational model to predict patient-specific growth of glioblastoma multiforme

New technology to monitor chemotherapy using magnetic nanoparticles

Researchers from Michigan State University propose a novel non-invasive magnetic particle imaging (MPI) to monitor chemotherapy release in vivo. This method employs superparamagnetic nanoparticles as the contrast agent to monitor drug release in the body. In this study researchers designed iron oxide nanocomposite loaded with a chemotherapy drug doxorubicin which serves as a drug delivery… Continue reading New technology to monitor chemotherapy using magnetic nanoparticles

Contaminated tap water and cancer

Researchers from Environmental Working Group conducted a cumulative assessment of cancer risk due to carcinogenic compounds found in drinking water. They used a novel analytical framework that calculated their combined health impacts. Results of the study showed that these substances would result in more than 100,000 cancer cases nationwide. Findings of the study are published… Continue reading Contaminated tap water and cancer

Researchers in University of Warwickshire develop 2D mass spectrometry using Linear ion trap.

Professor Peter O’Connor and Dr Maria van Agthoven in the Department of Chemistry have invented a device which makes 2D mass spectrometry – an effective process for analysing and sequencing proteins. This could enable researchers and companies to produce data-driven results on how protein molecules function, more easily and cheaply. 2D mass spectrometry allows chemists… Continue reading Researchers in University of Warwickshire develop 2D mass spectrometry using Linear ion trap.