A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
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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 ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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 ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
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Intelligent monitoring pipe detects and predicts 3D soil settlement
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
8don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...
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