Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile

Abstract

To design biomarker diagnostics, unique characteristics of nanotechnology are utilized. For decades, biomarkers have been used in clinical medicine. The use of such high-sensitivity nanosensors will provide patients with an earlier diagnosis of the disease and make major improvements in clinical outcomes. The biomarker profiles taken from tumor samples of patients and the clinical meta data can provide proficient management of cancer patients having comparable molecular subtypes. Thus, artificial intelligence plays a major role in developing advanced diagnostic tools, such as nanosensors, that focus on identifying the complexity of cancer disease diagnosis, thereby emerging as a valuable cancer research outcome in the public domain. This chapter focuses on nanosensors, highlighting their importance for cancer diagnosis applications.

Keywords: Artificial intelligence, Biomarker, Nanosensors, Omics.

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