Malod-Dognin, N;
Petschnigg, J;
Pržulj, N;
(2018)
Precision medicine ― A promising, yet challenging road lies ahead.
Current Opinion in Systems Biology
, 7
pp. 1-7.
10.1016/j.coisb.2017.10.003.
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Abstract
Precision medicine proposes to individualize the practice of medicine based on patients’ genetic backgrounds, their biomarker characteristics and other omics datasets. After outlining the key challenges in precision medicine, namely patient stratification, biomarker discovery and drug repurposing, we survey recent developments in high-throughput technologies and big biological datasets that shape the future of precision medicine. Furthermore, we provide an overview of recent data-integrative approaches that have been successfully used in precision medicine for mining medical knowledge from big-biological data, and we highlight modeling and computing issues that such integrative approaches will face due to the ever-growing nature of big-biological data. Finally, we raise attention to the challenges in translational medicine when moving from research findings to approved medical practices.
| Type: | Article |
|---|---|
| Title: | Precision medicine ― A promising, yet challenging road lies ahead |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.coisb.2017.10.003 |
| Publisher version: | https://doi.org/10.1016/j.coisb.2017.10.003 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Precision medicine, High-throughput technologies, Big data, Omics, Data analysis, Personalized patient treatment |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10026215 |
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