The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...
Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...
CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...
Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...
A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...
Farber Cancer Institute have developed a groundbreaking diagnostic tool that could transform the way acute leukemia is identified and treated. The tool, called MARLIN (Methylation- and AI-guided Rapid ...
Abstract: Glaucoma is one of the leading causes of blindness worldwide and is characterized by progressive visual field loss due to optic nerve damage. Early detection is fundamental, yet it is often ...
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