An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.
Journal:
Genome medicine
Published Date:
Jan 10, 2020
Abstract
BACKGROUND: Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease signatures.