Article ; Online: Life sciences today and tomorrow: emerging biotechnologies.
Critical reviews in biotechnology
2017 Volume 37, Issue 5, Page(s) 553–565
Abstract: The purpose of this review is to survey current, emerging and predicted future biotechnologies which are impacting, or are likely to impact in the future on the life sciences, with a projection for the coming 20 years. This review is intended to discuss ... ...
Abstract | The purpose of this review is to survey current, emerging and predicted future biotechnologies which are impacting, or are likely to impact in the future on the life sciences, with a projection for the coming 20 years. This review is intended to discuss current and future technical strategies, and to explore areas of potential growth during the foreseeable future. Information technology approaches have been employed to gather and collate data. Twelve broad categories of biotechnology have been identified which are currently impacting the life sciences and will continue to do so. In some cases, technology areas are being pushed forward by the requirement to deal with contemporary questions such as the need to address the emergence of anti-microbial resistance. In other cases, the biotechnology application is made feasible by advances in allied fields in biophysics (e.g. biosensing) and biochemistry (e.g. bio-imaging). In all cases, the biotechnologies are underpinned by the rapidly advancing fields of information systems, electronic communications and the World Wide Web together with developments in computing power and the capacity to handle extensive biological data. A rationale and narrative is given for the identification of each technology as a growth area. These technologies have been categorized by major applications, and are discussed further. This review highlights: Biotechnology has far-reaching applications which impinge on every aspect of human existence. The applications of biotechnology are currently wide ranging and will become even more diverse in the future. Access to supercomputing facilities and the ability to manipulate large, complex biological datasets, will significantly enhance knowledge and biotechnological development. |
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MeSH term(s) | Biotechnology |
Language | English |
Publishing date | 2017-08 |
Publishing country | England |
Document type | Journal Article ; Review |
ZDB-ID | 1042364-3 |
ISSN | 1549-7801 ; 0738-8551 |
ISSN (online) | 1549-7801 |
ISSN | 0738-8551 |
DOI | 10.1080/07388551.2016.1201455 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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