Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
An international team, including the University of Tokyo, has created a sensor inspired by the lateral line in fish - their ...
UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...
Abstract: The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current ...
Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...
cRenal Division, Department of Medicine, Peking University First Hospital, Beijing Key Laboratory of Research, Development and Translational Application of Multimodal Intelligent Diagnosis and ...
An investigator at the Icahn School of Medicine at Mount Sinai has received international recognition for innovative imaging research that may help physicians identify patients at increased risk of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results