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 […]
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.This post was originally […]
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 […]
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 […]
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 […]
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 […]
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.This post was originally published on this site
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 […]
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.This post was originally published on this site
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 […]
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