STM Journals Peer-reviewed research from Consortium e-Learning Network

Nano Trends – A Journal of Nano Technology & Its Applications Original Research

Enhancing Cancer Diagnosis: AI/ML Algorithms and Nanotechnology-Based Biosensors for Colorectal Cancer Screening

  1. K.Surendra Reddy Indira Institute of Technology & Sciences
  2. Kuruva Ramanjaneyulu Indira Institute of Technology & Sciences
  3. Daggulu Lakshmi Charitha Indira Institute of Technology & Sciences
  4. M.Rani Indira Institute of Technology & Sciences
  5. K.Mohammad Muddasir Indira Institute of Technology & Sciences
  6. Ch.Thirupathamma, Indira Institute of Technology & Sciences
  7. N.Naveen Indira Institute of Technology & Sciences

Abstract

Colorectal cancer (CRC) is one of the most common and deadly cancers worldwide, and enhancing patient outcomes requires early identification. This study explores the potential of nanotechnology- enhanced biosensors and artificial intelligence/machine learning (AI/ML) algorithms to revolutionize colorectal cancer screening and diagnosis. Nanotechnology offers unique opportunities for the development of highly sensitive and specific biosensors capable of detecting cancer biomarkers at an early stage. By incorporating nanomaterials with exceptional optical, electrical, and catalytic properties, biosensors can achieve unprecedented levels of sensitivity and selectivity. Additionally, the integration of AI/ML algorithms with biosensor data can further enhance the diagnostic accuracy, enabling early detection and personalized treatment strategies. This study delves into the latest advancements in nanomaterial-based biosensors, AI/ML algorithms for cancer diagnosis, and their synergistic applications in colorectal cancer screening. It also discusses the challenges, future perspectives, and potential impact on improving patient care and reducing the burden of colorectal cancer.

Keywords

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