SERS-Based Biosensors as Potential Next-Generation Point-of-Care Cancer Diagnostic Platforms

Author(s):  
Shounak Roy ◽  
Amit Jaiswal
Talanta ◽  
2021 ◽  
Vol 225 ◽  
pp. 122002
Author(s):  
Leila Syedmoradi ◽  
Michael L. Norton ◽  
Kobra Omidfar

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 461
Author(s):  
Madjid Morsli ◽  
Quentin Kerharo ◽  
Jeremy Delerce ◽  
Pierre-Hugues Roche ◽  
Lucas Troude ◽  
...  

Current routine real-time PCR methods used for the point-of-care diagnosis of infectious meningitis do not allow for one-shot genotyping of the pathogen, as in the case of deadly Haemophilus influenzae meningitis. Real-time PCR diagnosed H. influenzae meningitis in a 22-year-old male patient, during his hospitalisation following a more than six-metre fall. Using an Oxford Nanopore Technologies real-time sequencing run in parallel to real-time PCR, we detected the H. influenzae genome directly from the cerebrospinal fluid sample in six hours. Furthermore, BLAST analysis of the sequence encoding for a partial DUF417 domain-containing protein diagnosed a non-b serotype, non-typeable H.influenzae belonging to lineage H. influenzae 22.1-21. The Oxford Nanopore metagenomic next-generation sequencing approach could be considered for the point-of-care diagnosis of infectious meningitis, by direct identification of pathogenic genomes and their genotypes/serotypes.


2020 ◽  
Author(s):  
Damian Carlson ◽  
Christian Cuevas ◽  
Jennifer De Lurio ◽  
Andrew Furman ◽  
Randy Hulshizer ◽  
...  

2016 ◽  
Vol 6 (3) ◽  
pp. 220
Author(s):  
Rebecca Suzanne Barney ◽  
Brandon T. Leader ◽  
Arthur Lee

2019 ◽  
Vol 9 (3) ◽  
pp. 39 ◽  
Author(s):  
Weng Peng ◽  
Daniele Paesani

This article aims to discuss the recent development of integrated point-of-care spectroscopic-based technologies that are paving the way for the next generation of diagnostic monitoring technologies in personalized medicine. Focusing on the nuclear magnetic resonance (NMR) technologies as the leading example, we discuss the emergence of -onics technologies (e.g., photonics and electronics) and how their coexistence with -omics technologies (e.g., genomics, proteomics, and metabolomics) can potentially change the future technological landscape of personalized medicine. The idea of an open-source (e.g., hardware and software) movement is discussed, and we argue that technology democratization will not only promote the dissemination of knowledge and inspire new applications, but it will also increase the speed of field implementation.


2015 ◽  
Vol 33 (11) ◽  
pp. 692-705 ◽  
Author(s):  
Sandeep Kumar Vashist ◽  
Peter B. Luppa ◽  
Leslie Y. Yeo ◽  
Aydogan Ozcan ◽  
John H.T. Luong

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