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Journal ArticleDOI

Precision medicine in cardiology

Elliott M. Antman, +1 more
- 01 Oct 2016 - 
- Vol. 13, Iss: 10, pp 591-602
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TLDR
The cardiovascular research and clinical communities are ideally positioned to address the epidemic of noncommunicable causes of death, as well as advance the understanding of human health and disease, through the development and implementation of precision medicine.
Abstract
The cardiovascular research and clinical communities are ideally positioned to address the epidemic of noncommunicable causes of death, as well as advance our understanding of human health and disease, through the development and implementation of precision medicine. New tools will be needed for describing the cardiovascular health status of individuals and populations, including 'omic' data, exposome and social determinants of health, the microbiome, behaviours and motivations, patient-generated data, and the array of data in electronic medical records. Cardiovascular specialists can build on their experience and use precision medicine to facilitate discovery science and improve the efficiency of clinical research, with the goal of providing more precise information to improve the health of individuals and populations. Overcoming the barriers to implementing precision medicine will require addressing a range of technical and sociopolitical issues. Health care under precision medicine will become a more integrated, dynamic system, in which patients are no longer a passive entity on whom measurements are made, but instead are central stakeholders who contribute data and participate actively in shared decision-making. Many traditionally defined diseases have common mechanisms; therefore, elimination of a siloed approach to medicine will ultimately pave the path to the creation of a universal precision medicine environment.

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Artificial Intelligence in Cardiology

TL;DR: This paper reviews predictive modeling concepts relevant to cardiology such as feature selection and frequent pitfalls such as improper dichotomization, and describes the advent of deep learning and related methods collectively called unsupervised learning, which could be applied to enable precision cardiology and improve patient outcomes.
Journal ArticleDOI

Biomarker definitions and their applications.

TL;DR: This review examines biomarker definitions recently established by the U.S. Food and Drug Administration and the National Institutes of Health as part of their joint Biomarkers, EndpointS, and other Tools (BEST) resource and discusses the specific definitions and applications of diagnostic, monitoring, pharmacodynamic/response, predictive, prognostic, safety, and susceptibility/risk biomarkers.
Journal ArticleDOI

Network-based approach to prediction and population-based validation of in silico drug repurposing

TL;DR: It is demonstrated that a unique integration of protein-protein interaction network proximity and large-scale patient-level longitudinal data complemented by mechanistic in vitro studies can facilitate drug repurposing.
Journal ArticleDOI

Inflammation – Cause or Consequence of Heart Failure or Both?

TL;DR: The diversity of inflammation addresses the need for a tailored characterization of inflammation enabling differentiation of inflammation and subsequent target-specific strategies and points out the need to control the inflammatory process at an early stage avoiding chronic inflammation and heart failure.
References
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Journal ArticleDOI

The International HapMap Project

John W. Belmont, +145 more
- 18 Dec 2003 - 
TL;DR: The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance the ability to choose targets for therapeutic intervention.
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