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Autore: | Koo Kevin M |
Titolo: | Advancing Gene Fusion Detection Towards Personalized Cancer Nanodiagnostics / / by Kevin M. Koo |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Edizione: | 1st ed. 2019. |
Descrizione fisica: | 1 online resource (XIII, 102 p.) |
Disciplina: | 610.28 |
Soggetto topico: | Biomedical engineering |
Nanotechnology | |
Cancer research | |
Biomedical Engineering/Biotechnology | |
Biomedical Engineering and Bioengineering | |
Cancer Research | |
Nota di contenuto: | Unifying Next-Generation Biomarkers and Nanodiagnostic Platforms for Precision Prostate Cancer (PCa) Management -- Colorimetric Gene Fusion Diagnostics for Visual Binary Readout -- Label –Free Surface-Enhanced Raman Scattering Detection System for Clinical Biomarker Targets -- Amplification-Free Electrochemical RNA Biomarker Sensing -- Simultaneous Analysis of Multiple Biomarkers via High-Throughput Parallel Profiling. |
Sommario/riassunto: | This book presents a unique concept of merging nanotechnology and novel urinary biomarkers for accurate early prostate cancer detection, discussing an entire progressive pipeline of innovative new strategies in biosensor development, from a simple colorimetric system to a complex system for simultaneous multiple biomarker sensing. For newcomers to the field of nucleic acid biosensing, it also describes various isothermal amplification and amplification-free strategies, which are currently the main research areas. Lastly, the book introduces and demonstrates the notion of clinical nanobiosensor validation toward clinical translation: the ultimate aim of researchers in the biosensor field. This book is a valuable reference resource learners seeking inspiration for cancer biosensor development. |
Titolo autorizzato: | Advancing Gene Fusion Detection Towards Personalized Cancer Nanodiagnostics |
ISBN: | 3-030-31000-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910349443103321 |
Lo trovi qui: | Univ. Federico II |
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