Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
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.
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results