Health Informatics

CanStaging⁺, a user-friendly tool aimed at facilitating the recording of comparable cancer staging data worldwide, has been launched.... Read more

Why do some people get sick and die from COVID-19 while others seem to be completely unaffected? EPFL's Blue Brain Project deployed its powerful brain simulation technology and expertise in cellular and molecular biology to try and answer this question.... Read more

According to the Centers for Disease Control and Prevention (CDC), over 57% of people in the U.S. 12 years of age and older are fully vaccinated against COVID-19. While the high vaccination rates in certain areas are helping local authorities to safely reopen, there is no consensus on a common... Read more

Heart surgery has a history of racial inequities regarding diagnosis, treatment and outcomes. To determine if inequities might exist for one of the more common cardiac procedures—heart valve replacement—Johns Hopkins Medicine researchers looked at patients in Maryland who received diagnoses of faulty valves over a two-year period and then had... Read more

Immunology and bioinformatics researchers from The University of Queensland have identified a powerful tool for analysing large patient datasets. Their work could lead to better patient stratification, and the precise and quicker adoption of targeted therapies.... Read more

In the early and thus far most devastating stages of the COVID-19 pandemic, scientists were at a near loss on how to treat the deadly disease. The public was desperate for information. Consequently, two antimalarial drugs—chloroquine and hydroxychloroquine—were the subject of a Twitter storm in the marketplace of ideas known... Read more

Health-tracking devices and apps are becoming part of everyday life. More than 300,000 mobile phone applications claim to help with managing diverse personal health issues, from monitoring blood glucose levels to conceiving a child.... Read more

Machine learning can accurately predict cardiovascular disease and guide treatment—but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds a new study by researchers at New York University's School of Global Public Health and Tandon School of Engineering. The article, published in the... Read more

Government officials and policymakers have tried to use numbers to grasp COVID-19's impact. Figures like the number of hospitalizations or deaths reflect part of this burden. Each datapoint tells only part of the story. But no one figure describes the true pervasiveness of the novel coronavirus by revealing the number... Read more

The use of physician-monitored mobile apps for tracking blood pressure can help curb the effects of chronic hypertension and improve communication between patients and providers, according to new research from Binghamton University, State University of New York.... Read more

For the first time, researchers have used machine learning to successfully measure attachment in children—the vital human bond that humans first develop as infants to their caregivers.... Read more

A federal rule that requires health care providers to offer patients free, convenient and secure electronic access to their personal medical records went into effect earlier this year. However, providing patients with access to clinician notes, test results, progress documentation and other records doesn't automatically equip them to understand those... Read more

A research team has developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to their characteristics. The research was published in the latest edition of the journal Artificial Intelligence in Medicine.... Read more

Artificial intelligence could be used to predict who is at risk of developing type 2 diabetes—information that could be used to improve the lives of millions of Canadians.... Read more

A computational analysis of COVID-19 tests suggests that, in order to minimize the number of infections in a population, the amount of testing matters more than the sensitivity of the tests that are used. Philip Cherian and Gautam Menon of Ashoka University in Sonipat, India, and Sandeep Krishna of the... Read more