Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

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

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 ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.