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The role of big data in implementing personalised medicine
Big Data have a profound impact on personalised medicine. The most prevalent big data types in biomedical research include multi-omics, pictures, device data, and electronic health records. The common infrastructures for the management and analysis of biomedical big data are cloud computing and HPC. Advanced machine learning methods like deep learning and cognitive computing are needed for multi-view data processing.
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Contributed by: | Pathology Portal |
Authored by: |
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Licence: | Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International More information on licences |
First contributed: | 31 July 2023 |
Audience access level: | Full user |
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