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 ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
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 ...
Assessment of Circulating Tumor DNA Burden in Patients With Metastatic Gastric Cancer Using Real-World Data Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...
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