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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 ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
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 ...
On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...
By bringing the training of ML models to users, organizations can advance their AI ambitions while maintaining data security.
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