Big data from smart thermometer utilized to track and predict flu activity.

A study by researchers at the University of Iowa shows that anonymous data from a "smart thermometer" connected to a mobile phone app can track flu activity in real time at both population and individual levels. They also showed that this data can be used to improve flu forecasting. The study findings are published in … Continue reading Big data from smart thermometer utilized to track and predict flu activity.

ResistoMap developed to track world wide microbial drug resistance

Scientists from the Federal Research and Clinical Center of Physical-Chemical Medicine, the Moscow Institute of Physics and Technology, and Data Laboratory have created the ResistoMap, an interactive visualization of gut resistome. Gut resistome is human gut microbiota potential to resist antibiotics and includes the set of all antibiotic resistance genes in the genomes of human … Continue reading ResistoMap developed to track world wide microbial drug resistance

Dutch universities collaborate on big data in health to understand disease process

Patients with the same illness often receive the same treatment, even if the cause of the illness is different for each person. This represents a new step towards ultimately being able to offer every patient more personalized treatment.Six Dutch universities are combining forces to chart the different disease processes for a range of common conditions. … Continue reading Dutch universities collaborate on big data in health to understand disease process

Researchers use multi-task deep neural networks to automatically extract data from cancer pathology reports

Despite steady progress in detection and treatment in recent decades, cancer remains the second leading cause of death in the United States, cutting short the lives of approximately 500,000 people each year. To better understand and combat this disease, medical researchers rely on cancer registry programs--a national network of organizations that systematically collect demographic and … Continue reading Researchers use multi-task deep neural networks to automatically extract data from cancer pathology reports

Researchers use big data analytics to discover harmful drug interations

WASHINGTON - Coupling data mining of adverse event reports and electronic health records with targeted laboratory experiments, researchers found a way to identify and confirm previously unknown drug interactions, according to a study published today in the Journal of the American College of Cardiology.¬†Drug-drug interactions account for a significant proportion of side effects and hospitalizations, … Continue reading Researchers use big data analytics to discover harmful drug interations

Data analysis using Integrated Microbial Next Generation Sequensing (IMNGS) enables worldwide bacterial analysis

Press release by Technical University of Munich Sequencing data from biological samples such as the skin, intestinal tissues, or soil and water are usually archived in public databases. This allows researchers from all over the globe to access them. However, this has led to the creation of extremely large quantities of data. To be able … Continue reading Data analysis using Integrated Microbial Next Generation Sequensing (IMNGS) enables worldwide bacterial analysis