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Towards precision healthcare: context and mathematical challenges

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Title: Towards precision healthcare: context and mathematical challenges
Authors: Colijn, C
Jones, N
Johnston, I
Yaliraki, SN
Barahona, M
Item Type: Journal Article
Abstract: Precision medicine refers to the idea of delivering the right treatment to the right patient at the right time, usually with a focus on a data-centred approach to this task. In this perspective piece, we use the term "precision healthcare" to describe the development of precision approaches that bridge from the individual to the population, taking advantage of individual-level data, but also taking the social context into account. These problems give rise to a broad spectrum of technical, scientific, policy, ethical and social challenges, and new mathematical techniques will be required to meet them. To ensure that the science underpin-ning "precision" is robust, interpretable and well-suited to meet the policy, ethical and social questions that such approaches raise, the mathematical methods for data analysis should be transparent, robust and able to adapt to errors and uncertainties. In particular, precision methodologies should capture the complexity of data, yet produce tractable descriptions at the relevant resolution while preserving intelligibility and traceability, so that they can be used by practitioners to aid decision-making. Through several case studies in this domain of precision healthcare, we argue that this vision requires the development of new mathematical frameworks, both in modelling and in data analysis and interpretation.
Issue Date: 21-Mar-2017
Date of Acceptance: 21-Feb-2017
URI: http://hdl.handle.net/10044/1/44892
DOI: https://dx.doi.org/10.3389/fphys.2017.00136
ISSN: 1664-042X
Publisher: Frontiers Media
Journal / Book Title: Frontiers in Physiology
Volume: 8
Copyright Statement: © 2017 Colijn, Jones, Johnston, Yaliraki and Barahona. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/N014529/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Physiology
precision medicine
precision healthcare
data science
precision public health
mathematical modeling
MITOCHONDRIAL-DNA DISEASE
CANCER MEDICINE
SOCIAL NETWORK
PUBLIC-HEALTH
LUNG-CANCER
REAL-TIME
GENOMICS
PROMISE
FUTURE
HYPERTENSION
Publication Status: Published
Article Number: 136
Appears in Collections:Mathematics
Chemistry
Biological and Biophysical Chemistry
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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