Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.
An effective and efficient method for joint analyses of multiple spatial transcriptomics datasets. We develop INSPIRE, a deep learning-based method for integrating and interpreting multiple spatial ...
Abstract: Breast cancer (BC) remains a prevalent global health concern, necessitating advanced diagnostic tools for early detection and accurate classification. This article introduces a ...
Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation ...
Abstract: Multiple Object Tracking (MOT) is a rapidly developing research field that targets precise and reliable tracking of objects. Unfortunately, most available MOT datasets typically contain ...
More than a dozen federal statistical agencies are falling behind on producing high-quality data sets that impact the U.S. economy and government policy. An annual report from the American Statistical ...
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