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.