Role of artificial intelligence and vibrational spectroscopy in cancer diagnostics.

Journal: Expert review of molecular diagnostics

Published Date: Jun 27, 2020

Abstract

INTRODUCTION: Raman and Infrared spectroscopic techniques are being used for the analysis of different types of cancers and other biological molecules. It is possible to identify cancers from normal tissues both in fresh and fixed tissues. These techniques can be used not only for the early diagnosis of cancer but also for monitoring the progression of the disease. Furthermore, chemical pathways to the progression of the disease process can be understood and followed.

Authors

Ihtesham U Rehman

Bioengineering │ Engineering Department, Faculty of Science and Technology, Lancaster University , Lancaster, UK.
Rabia Sannam Khan

Bioengineering │ Engineering Department, Faculty of Science and Technology, Lancaster University , Lancaster, UK.
Shazza Rehman

Department of Medical Oncology, Airedale NHS Foundation Trust, Airedale General Hospital, Steeton , West Yorkshire, UK.

Keywords

Artificial Intelligence Breast Neoplasms Female Humans Machine Learning Neoplasms Neural Networks, Computer Spectrum Analysis Spectrum Analysis, Raman

External Resources

View on PubMed Access via DOI PubMed (32544359)

Role of artificial intelligence and vibrational spectroscopy in cancer diagnostics.

Abstract

Authors

Keywords

External Resources

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