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 machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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 new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.
7don 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 ...
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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