The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Personalized diagnostics and biosensors: a review of the biology and technology needed for personalized medicine
Abstract
Exploiting the burgeoning fields of genomics, proteomics and metabolomics improves understanding of human physiology and, critically, the mutations that signal disease susceptibility. Through these emerging fields, rational design approaches to diagnosis, drug development and ultimately personalized medicine are possible. Personalized medicine and point-of-care testing techniques must fulfill a host of constraints for real-world applicability. Point-of-care devices (POCDs) must ultimately provide a cost-effective alternative to expensive and time-consuming laboratory tests in order to assist health care personnel with disease diagnosis and treatment decisions. Sensor technologies are also expanding beyond the more traditional classes of biomarkers--nucleic acids and proteins--to metabolites and direct detection of pathogens, ultimately increasing the palette of available techniques for the use of personalized medicine. The technologies needed to perform such diagnostics have also been rapidly evolving, with each generation being increasingly sensitive and selective while being more resource conscious. Ultimately, the final hurdle for all such technologies is to be able to drive consumer adoption and achieve a meaningful medical outcome for the patient.
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Drummond, T. G., Hill, M. G., & Barton, J. K. (2003) · Nature Biotechnology · doi:10.1038/nbt873 · Cited by 2,214 · cited 1×
“In addition, challenges exist including the higher cost and instrumentation, as well as the observed non-uniform rates of fluorophore photobleaching which can actually yield inaccurate data for POC diagnosis (Drummond et al., 2003).”
BackgroundThe Path to Personalized Medicine
Hamburg, M. A., & Collins, F. S. (2010) · New England Journal of Medicine · doi:10.1056/nejmp1006304 · Cited by 1,970
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
Pharmaco-metabonomic phenotyping and personalized drug treatment
Andrew Clayton, T., Lindon, J. C., Cloarec, O., Antti, H., Charuel, C., Hanton, G., Provost, J.-P., Le Net, J.-L., Baker, D., Walley, R. J., et al. (2006) · Nature · doi:10.1038/nature04648 · Cited by 824 · cited 1×
“Individuals exhibiting high pre-dose urinary levels of p-cresol sulfate, a gut bacterial co-metabolite, produced low post-dose urinary ratios of acetaminophen sulfate to acetaminophen glucuronide (Clayton et al., 2006, 2009).”
Background
Cited by
Biosensors applications in medical field: A brief review
Haleem, A., Javaid, M., Singh, R. P., Suman, R., & Rab, S. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100100 · Cited by 600
Xu, S., Zhan, J., Man, B., Jiang, S., Yue, W., Gao, S., Guo, C., Liu, H., Li, Z., Wang, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14902 · Cited by 437
Courbet, A., Endy, D., Renard, E., Molina, F., & Bonnet, J. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa3601 · Cited by 266
Lagoumintzis, G., & Patrinos, G. P. (2023) · Human Genomics · doi:10.1186/s40246-023-00561-w · Cited by 132
Miranda, B., Rea, I., Dardano, P., De Stefano, L., & Forestiere, C. (2021) · Biosensors · doi:10.3390/bios11040107 · Cited by 63
Metadata
- Authors
- Ahmed, M. U., Saaem, I., Wu, P. C., & Brown, A. S.
- Venue
- Critical Reviews in Biotechnology
- Publisher
- Informa UK Limited
- Published
- 2013-04-22
- Volume
- 34
- Issue
- 2
- Pages
- 180-196
- ISSN
- 0738-8551 (ISSN-L)
- 1549-7801
- OpenAlex
- W2027459466
- Cited by
- 238
- References
- 4
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ahmed, M. U., Saaem, I., Wu, P. C., & Brown, A. S. (2014). Personalized diagnostics and biosensors: a review of the biology and technology needed for personalized medicine. Critical Reviews in Biotechnology. https://doi.org/10.3109/07388551.2013.778228
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.