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OpinionOpen Access

Deep learning (DL) Opens New Horizons in Personalized Medicine

Volume 12 - Issue 2

Georgios Z. Papadakis*1,2 MD, MPH, PhD, Apostolos H. Karantanas1,2 MD, PhD and Kostas Marias1 PhD

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    • 1Computational Biomedicine Laboratory (CBML), Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece
    • 2Department of Radiology-University of Crete and Department of Medical Imaging-Heraklion University Hospital, Greece
    • *Corresponding author: Georgios Z Papadakis MD, MPH, PhD, Computational Biomedicine Laboratory (CBML), Foundation for Research and Technology Hellas (FORTH), N. Plastira 100, Vassilika Vouton, GR-70013, Heraklion, Crete, Greece

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

DOI: 10.26717/BJSTR.2018.12.002215

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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.

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