Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

A high-precision machine learning potential based on the Deep Potential method was constructed to systematically investigate ...

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 ...