Sarah Urbut, MD, Ph.D., of the Mass General Brigham Heart and Vascular Institute, is the lead author of a paper published in ...
Researchers developed ALADYNOULLI, a Bayesian generative model that combines longitudinal health records, age, and polygenic ...
Each person’s health journey is personal. When someone seeks health care, they often share sensitive details with a medical professional—details they want to remain private and protected. This patient ...
Abstract: Chronic knee conditions and musculoskeletal (MSK) injuries are prevalent and pose significant challenges to global healthcare systems. Current diagnostic methods, such as magnetic resonance ...
Background: Data dashboards can be a powerful tool for ensuring access for public health decision makers to timely, relevant, and credible data. As their appeal and reach become ubiquitous, it is ...
Abstract: Fault diagnosis holds significant practical importance for high performance and reliable control of induction motors. However, existing deep learning-based fault diagnosis methods demand a ...
Outcomes from consecutive prompt-based trials were assessed against expected statistical values calculated in Python (Python Software Foundation), SAS (SAS Institute), and RStudio (Posit PBC). Results ...