Artificial Intelligence and Precision Oncology

Artificial Intelligence and Precision Oncology

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Artificial Intelligence and Precision Oncology

by Zodwa Dlamini (Author)

This book, titled “Artificial Intelligence and Precision Oncology: Big Data for Better Decision Making”, explores the exciting intersection of artificial intelligence (AI), big data, and precision oncology in the field of cancer diagnosis and treatment. Written by Zodwa Dlamini, a leading expert in the field, this book provides a comprehensive overview of how AI and big data can revolutionize the way we approach cancer screening, diagnosis, prognosis, and treatment.

Precision oncology is a rapidly evolving field in healthcare that aims to personalize cancer care by tailoring tests, treatments, and predictions to individual patients or population groups. In order to achieve this level of personalization, vast amounts of patient-specific data need to be integrated and analyzed, allowing healthcare professionals to identify key patterns or features that define or characterize the disease in these individuals. AI and big data play a crucial role in processing and analyzing these complex data sets, enabling more accurate and targeted cancer care.

The book is divided into three parts, each focusing on different aspects of the role of AI and big data in precision oncology. The first part explores the use of AI for cancer screening, diagnosis, and monitoring. It delves into the various AI techniques and algorithms used to analyze medical data, such as imaging and genetic information, in order to improve the accuracy and efficiency of cancer diagnoses.

The second part of the book examines the intersection of AI and “omics” technologies in precision oncology. It explores how AI can be used to analyze and integrate data from various “omics” fields, such as epigenetics, metabolomics, and microbiomics, to gain a more comprehensive understanding of individual patients’ cancer profiles. This section highlights the potential of AI in uncovering new biomarkers and therapeutic targets for personalized cancer treatment.

The final part of the book focuses on the application of AI in cancer therapy and its clinical implications. It discusses the use of AI tools for risk prediction, early detection, diagnosis, and prognosis, showcasing how AI can improve patient outcomes and enable more effective treatment strategies. This section also explores the ethical and regulatory considerations surrounding AI in healthcare, ensuring that readers have a well-rounded understanding of the topic.

With contributions from esteemed experts in the field of oncology and AI, this book offers insightful perspectives and cutting-edge research on the use of AI and big data in precision oncology. Whether you are a cancer researcher, clinical oncologist, pathologist, medical student, or academic teaching staff, this book will expand your knowledge and provide valuable insights into the future of cancer care.

Order your copy of “Artificial Intelligence and Precision Oncology: Big Data for Better Decision Making” today and embark on a journey towards revolutionizing cancer care through AI and big data-driven approaches.

Product Details

  • Publisher: Springer Nature Switzerland; January 21, 2023
  • Language: English
  • ISBN: 9783031215056
  • ISBN: 9783031215063

Product Details

  • Publisher: Springer Nature Switzerland; January 21, 2023
  • Language: English
  • ISBN: 9783031215056
  • ISBN: 9783031215063

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