Open Access

Deep learning opens new horizons in personalized medicine (Review)

  • Authors:
    • Georgios Z. Papadakis
    • Apostolos H. Karantanas
    • Manolis Tsiknakis
    • Aristidis Tsatsakis
    • Demetrios A. Spandidos
    • Kostas Marias
  • View Affiliations

  • Published online on: March 13, 2019     https://doi.org/10.3892/br.2019.1199
  • Pages: 215-217
  • Copyright: © Papadakis et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Although the idea of the personalization of patient care dates back to the time of Hippocrates, recent advances in diagnostic medical imaging and molecular medicine are gradually transforming healthcare services, by offering information and diagnostic tools enabling individualized patient management. Facilitating personalized/precision medicine requires taking into account multiple heterogenous parameters, such as sociodemographics, gene variability, environmental and lifestyle factors. Therefore, one of the most critical challenges in personalized medicine is the need to transform large, multi‑modal data into decision support tools, capable of bridging the translational gap to the clinical setting. Towards these challenges, deep learning (DL) provides a novel approach, which enables obtaining or developing high‑accuracy, multi‑modal predictive models, that allow the implementation of the personalized medicine vision in the near future. DL is a highly effective strategy in addressing these challenges, with DL‑based models leading to unprecedented results, matching or even improving state‑of‑the‑art prediction/detection rates based on both intuitive and non‑intuitive disease descriptors. These results hold promise for significant socio‑economic benefits from the application of DL personalized medicine.
View Figures
View References

Related Articles

Journal Cover

April-2019
Volume 10 Issue 4

Print ISSN: 2049-9434
Online ISSN:2049-9442

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Papadakis GZ, Karantanas AH, Tsiknakis M, Tsatsakis A, Spandidos DA and Marias K: Deep learning opens new horizons in personalized medicine (Review). Biomed Rep 10: 215-217, 2019.
APA
Papadakis, G.Z., Karantanas, A.H., Tsiknakis, M., Tsatsakis, A., Spandidos, D.A., & Marias, K. (2019). Deep learning opens new horizons in personalized medicine (Review). Biomedical Reports, 10, 215-217. https://doi.org/10.3892/br.2019.1199
MLA
Papadakis, G. Z., Karantanas, A. H., Tsiknakis, M., Tsatsakis, A., Spandidos, D. A., Marias, K."Deep learning opens new horizons in personalized medicine (Review)". Biomedical Reports 10.4 (2019): 215-217.
Chicago
Papadakis, G. Z., Karantanas, A. H., Tsiknakis, M., Tsatsakis, A., Spandidos, D. A., Marias, K."Deep learning opens new horizons in personalized medicine (Review)". Biomedical Reports 10, no. 4 (2019): 215-217. https://doi.org/10.3892/br.2019.1199