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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
A chest-worn biosensor that features several measurement signals in one device reliably identifies the presence and severity ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Francesco Perono Cacciafoco received funding from Xi'an Jiaotong-Liverpool University (XJTLU): SURF Grant "Unveiling the Secrets of the Singapore Stone: A Digital Philology Investigation" - Grant ...
Health and Me on MSN
New deep learning model reads heart MRI scans as accurately as specialists
The deep learning model developed by researchers at the University of Pennsylvania identified severe heart dysfunction far more effectively than traditional AI methods. It also diagnosed 39 cardiac ...
Morning Overview on MSN
AI model flags advanced heart failure earlier using routine ultrasound data
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
Lyme disease bio-sensor under development at University of Guelph A new device being developed by Guelph University researchers is promising new hope for lyme disease patients.
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