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Healthcare Engineering pp 37–42Cite as

Big Data Analytics and Molecular Medicine

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Abstract

Diagnostics have a major role to play in improving patient care, protecting consumer health and reducing health care costs. The quality of patient care can be significantly improved by detecting and diagnosing disease earlier and more rapidly. This is especially true in the case of cancer where accurate and early diagnosis can provide more targeted and effective treatment options leading to better outcomes. Diagnostic tests can also provide companies with accurate quality checks of their products thus ensuring product safety and consequently protecting consumer health.

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Author information

Authors and Affiliations

  1. Strand Life Sciences, Pvt. Ltd., Bangalore, India

    Kalyanasundaram Subramanian

Authors
  1. Kalyanasundaram Subramanian
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Corresponding author

Correspondence to Kalyanasundaram Subramanian .

Editor information

Editors and Affiliations

  1. Indian National Academy of Engineering , Gurgaon, Haryana, India

    Rajeev Shorey

  2. Executive Director, Birla Institute of Scientific Research Executive Director, Jaipur, Rajasthan, India

    Purnendu Ghosh

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© 2017 Springer Nature Singapore Pte Ltd.

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Cite this paper

Subramanian, K. (2017). Big Data Analytics and Molecular Medicine. In: Shorey, R., Ghosh, P. (eds) Healthcare Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-3111-3_6

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  • DOI: https://doi.org/10.1007/978-981-10-3111-3_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3110-6

  • Online ISBN: 978-981-10-3111-3

  • eBook Packages: EngineeringEngineering (R0)

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