Disease identification accuracy

1 paper1 finding

In silico1

Interventions

1

Maple

upin silico1

1 study

Maple improves disease identification accuracy in silico (mean AUC 0.97).
“mean areas under the curve of 0.97 for disease identification”
In silicodisease identification
A robust computational framework for methylation age and disease-risk prediction based on pairwise learning
Nature computational scienceJan 13, 2026

Latest

1 in 12 months

Nature Computational ScienceJan 14

A robust computational framework for methylation age and disease-risk prediction based on pairwise learning

Computational studyBiomarkers