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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 ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
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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 ...
On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...
Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...
Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
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Garbage in, machine learning out: Why process stability is the prerequisite for AI success
The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
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