Deep learning (DL) Opens New Horizons in Personalized Medicine

Georgios Z. Papadakis*^1,2 MD, MPH, PhD, Apostolos H. Karantanas^1,2 MD, PhD and Kostas Marias¹ PhD

Received: December 05, 2018;   Published: December 14, 2018

DOI: 10.26717/BJSTR.2018.12.002215

Full Text PDF

To view the Full Article   Peer-reviewed Article PDF

Abstract

Although the idea of personalization of patient care dates to the time of Hippocrates, recent advances in diagnostic medical imaging and molecular medicine are gradually transforming health care services, by offering information and diagnostic tools enabling individualized patient management. One of the most critical challenges in personalized medicine is to transform big, multi-modal data into decision support tools, capable to bridge the translational gap to the clinical setting. Deep Learning (DL) provides a new approach to derive high-accuracy, multi-modal predictive models, which will enable implementation of the personalized medicine vision soon.