AI as a Novel Approach for Exploring ccfNAs in Personalized Clinical Diagnosis and Prognosis: Providing Insight into the Decision-Making in Precision Oncology

Lesetja Motadi, Mzubanzi Mabongo, Demetra Demetriou, Precious Mathebela, Zodwa Dlamini

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

For many years the idea of personalized medicine has toyed around. It is characterized as an innovative method to alter disease treatment and prevention that considers the differences in individuals’ genes and lifestyles. The purpose of precision medicine is to provide patient-specific treatments at the right time for quick and cost-effective recovery. While world technological advances provide the opportunity for many in medical science to access big data that no human brain can collate, the use of artificial intelligence (AI) may help improve cancer screening and diagnosis and planned treatment. In this chapter, although we will not cover all technologies already available for patient care, we highlight the progress made in using technology combined with liquid biopsy in precision oncology. We will also be discussing AI as a novel approach for exploring circulating cell-free nucleic acids (ccfNAs) in personalized clinical diagnosis and prognosis.

Original languageEnglish
Title of host publicationArtificial Intelligence and Precision Oncology
Subtitle of host publicationBridging Cancer Research and Clinical Decision Support
PublisherSpringer Nature
Pages73-91
Number of pages19
ISBN (Electronic)9783031215063
ISBN (Print)9783031215056
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Artificial intelligence
  • CcfNAs
  • Clinical decision-making
  • Diagnosis
  • Novel
  • Precision oncology
  • Prognosis

ASJC Scopus subject areas

  • General Medicine

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