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Biosensor Based Advanced Cancer Diagnostics: From Lab to Clinics

✍ Scribed by Raju Khan (editor), Arpana Parihar (editor), S.K. Sanghi (editor)


Tongue
English
Leaves
438
Category
Library

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✦ Synopsis


Early diagnosis of cancer and other non-oncological disorders gives a significant advantage for curing the disease and improving patient’s life expectancy. Recent advances in biosensor-based techniques which are designed for specific biomarkers can be exploited for early diagnosis of diseases. Biosensor Based Advanced Cancer Diagnostics covers all available biosensor-based approaches and comprehensive technologies; along with their application in diagnosis, prognosis and therapeutic management of various oncological disorders. Besides this, current challenges and future aspects of these diagnostic approaches have also been discussed. This book offers a view of recent advances and is also helpful for designing new biosensor-based technologies in the field of medical science, engineering and biomedical technology.

Biosensor Based Advanced Cancer Diagnostics helps biomedical engineers, researchers, molecular biologists, oncologists and clinicians with the development of point of care devices for disease diagnostics and prognostics. It also provides information on developing user friendly, sensitive, stable, accurate, low cost and minimally invasive modalities which can be adopted from lab to clinics. This book covers in-depth knowledge of disease biomarkers that can be exploited for designing and development of a range of biosensors. The editors have summarized the potential cancer biomarkers and methodology for their detection, plus transferring the developed system to clinical application by miniaturization and required integration with microfluidic systems.

  • Covers design and development of advanced platforms for rapid diagnosis of cancerous biomarkers
  • Takes a multidisciplinary approach to sensitive transducers development, nano-enabled advanced imaging, miniaturized analytical systems, and device packaging for point-of-care applications
  • Offers an insight into how to develop cost-effective diagnostics for early detection of cancer

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