Innovations in cardio-oncology research

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The intersection of oncology and cardiology presents a complex landscape fraught with challenges and opportunities. From optimizing chemotherapeutics to refining radiation therapy strategies, there is a growing emphasis on minimizing treatment-related toxicity while maximizing therapeutic efficacy. Despite strides in the personalization/deescalation of cancer therapeutics and the rising use of targeted therapies, accurately predicting and managing cardiotoxicity remains a challenge. Recent advancements in cardio-oncology have centered on precision medicine facilitated by artificial intelligence technologies and digital health. This chapter explores the ongoing cutting-edge research in cardio-oncology, focusing on precision medicine, artificial intelligence, digital health, and novel cardioprotective agents through four broad research topics. (i) Cardiotoxicity mitigation strategies: Explores personalized cancer therapeutics through advancements in genomics in the spectrum of precision medicine. (ii) Advancements in cardiotoxicity risk assessment tools through artificial intelligence and evolving biomarkers: Focuses on machine learning and natural language processing cardiovascular risk predictive modeling and clinical application tools. It includes discussions on evolving biomarkers such as human-induced pluripotent stem cells and variations in CYP450 genomic profiles. (iii) Digital health research: Focuses on developments in wearable devices. (iv) Newer cardioprotective strategies: use of sodium-glucose cotransporter 2 inhibitors in cardiotoxicity prevention and treatment in cancer patients and survivors. It includes the integration of genomic biomarkers such as human-induced pluripotent stem cells, in assessing the impact of sodium-glucose cotransporter 2 inhibitors in cardio-oncology. Each subsection summarizes the current knowledge, evolving innovative research, its challenges, and future directions as a path to further the field of cardio-oncology.

Original languageEnglish (US)
Title of host publicationInnovations in Cardio-Oncology
Subtitle of host publicationArtificial Intelligence, Digital Health, and Precision Medicine
PublisherElsevier
Pages405-436
Number of pages32
ISBN (Electronic)9780443298295
ISBN (Print)9780443298301
DOIs
StatePublished - Jan 1 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Inc. All rights reserved.

Keywords

  • Artificial intelligence
  • Cancer therapy de-escalation
  • Cancer therapy personalization
  • Cardio-oncology research
  • Natural language processing
  • Predictive modeling

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