Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

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 ...

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

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications.

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 ...

UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...