Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

We developed and internally validated a machine-learning model using routinely available clinical variables to identify the presence of carotid plaque (prevalent plaque) among patients with type 2 ...

People whose sleep brain waves register as biologically older than their actual age face a sharply elevated risk of ...

We are pleased to introduce the Research Topic “Exploring the Benefits of Digital Health Technologies in Diabetes Management”. Digital health technologies (DHTs), including mobile health (mHealth) ...

As Australia marks 50 years of NAIDOC Week, honoring the world's oldest living culture, humanity's newest technology has yet ...

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

We discuss future directions wherein newer dynamic risk scores could be used to predict type 1 diabetes risk, assess the efficacy of new and emerging drugs to retard, or prevent type 1 diabetes, and ...

Here are the supply chain updates ASC leaders need to know this week.

Ultrasound and artificial intelligence-guided algae microrobots delivered chemotherapy deep into tumors in mice, paving the way to improved bladder cancer care.

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View Wei Luo, Dinh Phung, Truyen Tran, Sunil Gupta, Santu Rana, Chandan Karmakar, ...

Flight crewmembers are occupationally exposed to cosmic ionizing radiation. Although the radiation dose received during any individual commercial flight is generally low, dose accumulates over the ...