PubMed · 979386
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A J Niemi. 1976. On discrete deconvolution.. https://doi.org/10.1007/bf02478061
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Through metabolic engineering, scientists seek to modify the metabolic pathways of living organisms to facilitate optimized, efficient production of target biomolecules. During the past decade, we have seen notable improvements in biotechnology, many of which have been based on metabolically engineered microorganisms. Recent developments in the fields of functional genomics, transcriptomics, proteomics, and metabolomics have changed metabolic engineering strategies from the local pathway level to the whole system level. This article focuses on recent advances in the field of metabolic engineering, which have been powered by the combined approaches of the various "omics" that allow us to understand the microbial metabolism at a global scale and to develop more effectively redesigned metabolic pathways for the enhanced production of target bioproducts.
Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. These exciting opportunities also present a number of challenges to the implementation and integration of technologies in the workplace. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. Because clinical practice is a human endeavor, there is a need for bridging disciplines to enable clinicians to benefit from rapid technologic advances. This, in turn, necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.
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