A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field sensors and deep learning ...
12d
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 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 ...
"Screening is typically recommended for patients with confirmed liver cirrhosis or severe liver disease, since many cases of ...
Two research teams mined genomic data from bacteria to create databases containing thousands of antiviral defence proteins ...
Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results