2020
DOI: 10.1109/access.2020.2965955
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Precision Medicine Informatics: Principles, Prospects, and Challenges

Abstract: Precision Medicine (PM) is an emerging approach that appears with the impression of changing the existing paradigm of medical practice. Recent advances in technological innovations and genetics, and the growing availability of health data have set a new pace of the research and imposes a set of new requirements on different stakeholders. To date, some studies are available that discuss about different aspects of PM. Nevertheless, a holistic representation of those aspects deemed to confer the technological per… Show more

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Cited by 40 publications
(45 citation statements)
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“…To address system diversity, immediate efforts are required to set the technical standards for AI-based medicine and diagnosis [94]. In this regard, various technical and medical organizations including the AI group run by the international organization for standardization, world health professions alliance, and world health organization can work together [95], [96].…”
Section: ) Standardization and Interoperabilitymentioning
confidence: 99%
“…To address system diversity, immediate efforts are required to set the technical standards for AI-based medicine and diagnosis [94]. In this regard, various technical and medical organizations including the AI group run by the international organization for standardization, world health professions alliance, and world health organization can work together [95], [96].…”
Section: ) Standardization and Interoperabilitymentioning
confidence: 99%
“…Numerous muscular disorders overlap phenotypically with MFM. NGS-based genetic analyses can resolve clinical dilemmas and facilitate exact diagnosis [ 25 , 26 ]. Additionally, with the reporting of new cases, the reported clinical manifestations of mutations in a given gene are likely to expand.…”
Section: Discussionmentioning
confidence: 99%
“…Although various initiatives have worked in this line to facilitate the adoption of the data standards especially in the omics discipline such as BioSharing, (works to ensure the standards are searchable and informative. ), to extend the existing standards, the relevant stakeholders should cooperate to educate the potential adopters for understanding and using the existing data standards [21].…”
Section: Individual's Variables Tailoring the Treatmentmentioning
confidence: 99%
“…The analysis and processing of such data need hardware and software facilities, which is beyond the local infrastructures of many small laboratories. Particularly, molecular and omics data analysis requires powerful computational tools [21].Whereas componential resources and related facilities require a high cost of maintenance and development [6], adopting technologies such as cloud computing and the Internet of Things (IoT)can be an alternative to deal with the high cost of storage and computational requirements. For example, Siemens Healthcare, Philips Healthcare, and GE Healthcare are the three big medical imaging companies that pioneered switching computer-intensive image processing to the Health Cloud ecosystem.…”
Section: Data Processing and Storage -Handling Big Datamentioning
confidence: 99%