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    Bioengineering has the power to improve global health by developing tools that function in resource-constrained contexts.

    Image: Susanne Harris

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    Modelling human tissues in microphysiologically relevant ‘chips’ will increasingly help to unravel mechanistic knowledge underlying disease, and might eventually accelerate the productivity of drug development and predict how individual patients will respond to specific drugs.

    Image: Onur Kilic, Johns Hopkins University

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    Engineering and materials-science advances drive the miniaturization and long-term and safe operation of bioelectronic devices for diagnostics or therapy.

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    Research on disease mechanisms will increasingly be supported by progressively more sophisticated engineered tissues serving as in vitro models of human disease.

    Image: Michael Rosnach

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    The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic.

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    To establish wider utility at the point of care, device validation should be carried out within the target population, and in the most appropriate environment and use conditions.

    Image: Chonghe Wang and Sheng Xu, University of California San Diego

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    Cancer therapies that target multiple immune pathways take advantage of synergistic killing and decrease the risk of relapse.

    Image: DrAfter123

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    Modelling and treating diseases of the central and peripheral nervous systems requires far better biomaterials and technology than are currently available.

    Image: Maayan Harel and Jerzy Szablowski

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    Efficient approaches that overcome the physicochemical and biological barriers to getting therapeutics into the right tissues and cells are critical to therapy development.

    Image: Benjamin Lee & Bohao Liu, Columbia University

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    Accurate diagnostics need technology to detect markers associated with the cause of disease.

    Image: Felix Ellett

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    Advances in microscopy and the application of machine learning to histology will modernize the examination of tissues in the clinical laboratory and in the operating room.

    Image: Richard Levenson, University of California Davis

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    The optimization and diversification of methods for manipulating the genome will enable new therapeutic solutions.

    Image: Image design by Karen Moore.