Abstract: Heart disease remains one of the foremost causes of mortality worldwide, highlighting the need for timely diagnosis and tailored treatment strategies. Although conventional diagnostic ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Researchers sought to develop a machine learning-based prognostic model that can predict all-cause mortality or liver transplant among patients with autoimmune hepatitis. A machine learning model ...

New York City Mayor-elect Zohran Mamdani said Wednesday he wouldn’t be intimidated by President Donald Trump’s potential threats to deploy the National Guard to his city. "I think that his threats are ...

Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...

Across the nation, electric power providers are grappling with an uncertain future as the grids that form the backbone of our energy infrastructure age and confront unprecedented new demands from ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...