Health Informatics

By using social media data, researchers can get insights into patients' experiences that are often overlooked or otherwise difficult to attain. Social media also provides data more quickly than traditional epidemiological studies, which can take years to complete.... Read more

Artificial intelligence can be used to predict the onset of diabetes mellitus given sufficient patient information according to work published in the International Journal of Business Intelligence and Systems Engineering.... Read more

Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.... Read more

When a new coronavirus emerged from nature in 2019, it changed the world. But COVID-19 won't be the last disease to jump across from the shrinking wild. Just this weekend, it was announced that Australia, is no longer an onlooker, as Canada, the U.S. and European countries scramble to contain... Read more

Lesbian, gay, and bisexual (LGB) adults differ from heterosexual adults on several health indicators, according to a study published online May 25 in the National Health Statistics Reports, a publication from the U.S. Centers for Disease Control and Prevention.... Read more

Although everyone has been affected by COVID-19 and the pandemic it spawned, not all populations have been affected equally. In the United States, for example, COVID-19 cases and death rates have been disproportionately high in Latino and Indigenous populations.... Read more

Domestic violence and abuse (DVA) could be identified in the future using an already established national database of serious injuries, according to new University of Bristol-led research. The pilot study, published in Injury Prevention on 26 May, developed a method to identify DVA victim-survivors from hospital records.... Read more

Northeastern experts are taking the mystery out of what we eat.... Read more

It is generally agreed that a team of individuals with unique talents and skills offers the potential to achieve more than any person can achieve alone. The Frontier of Renal Outcome Modifications in Japan (FROM-J) study, conducted from 2008 to 2012, was developed to demonstrate just that. This 3½ year... Read more

Scientists have used ideas from artificial intelligence to identify patterns of antibiotic resistance around the world.... Read more

A team of clinicians and scientists from Tempus and Geisinger have found that a new artificial intelligence model can accurately identify patients at increased risk of undiagnosed structural heart disease.... Read more

Rheumatology patient care has largely rebounded from the pandemic, with a lingering shift toward continuing telemedicine visits, according to a study presented at the annual meeting of the International Society for Pharmacoeconomics and Outcomes Research, held from May 15 to 18 in Washington, D.C.... Read more

University at Buffalo biomedical informatics researchers have found that patients hospitalized with COVID-19 pneumonia had a 13.5% survival advantage when treated with a combination of leukotriene inhibitors (LTIs) and the steroid dexamethasone.... Read more

Research into neural networks could lead to the identification of unexpected and potentially hazardous interactions between different medications being taken at the same time. Details are provided in the International Journal of Data Mining and Bioinformatics.... Read more

Scientists at the Broad Institute of MIT and Harvard and the University of Massachusetts Medical School have developed a machine-learning model that can analyze millions of SARS-CoV-2 genomes and predict which viral variants will likely dominate and cause surges in COVID-19 cases. The model, called PyR0 (pronounced "pie-are-nought"), could help... Read more