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Implementing these approaches isn't easy but can be rewarding.
Recent advances in implementing these approaches include the treatment of cancer, where the most clinical progress has been made to date, and the treatment of diabetes.
Additionally, tools are made available to aid investigators in implementing these approaches.
Studies on implementing these approaches in the CPMG-HSQMBC sequence are under way.
Although models for categorizing different types of results ("binning") have been developed, there are some challenges to implementing these approaches.
However, even draft reference genomes or genomes from related species can be useful when implementing these approaches to identify variants.
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A number of test systems that implement these approaches are demonstrated.
When properly implemented, these approaches will lead to the development of more potent eHealth interventions.
It is possible to implement these approaches by fully investigating methods of expressing knowledge in each respective field and then to create knowledge expressions that completely express the problems' solutions.
Another common issue for existing approaches is high computational complexity, resulting in the ability to implement these approaches only for small microphone arrays, directly affecting the beamformer spatial resolution.
While these approaches could be conceivably implemented on FPGA-based SDR platforms, such as WARP[30] or USRP[25] in a straightforward manner, the main contribution of the works[53, 54] has been to implement these approaches on a commodity Broadcom wireless NIC.
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