Artificial Intelligence and Precision Oncology: Bridging Cancer Research and Clinical Decision Support

The use of artificial intelligence (AI), big data, and precision oncology for medical decision-making in cancer screening, diagnosis, prognosis, and treatment is highlighted in this book. Precision oncology aims to tailor tests, treatments, and predictions to specific individuals or population groups, revolutionizing cancer management and prevention. AI is essential for analyzing vast amounts of patient or population group-specific data to identify key patterns or features that can define or characterize the disease. The book is divided into three parts: screening, diagnosis, and monitoring; AI and omics in precision oncology; and cancer therapy and clinical applications. It appeals to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff, and medical residents interested in cancer research.

Format: Hardback
Length: 315 pages
Publication date: 22 January 2023
Publisher: Springer International Publishing AG

Precision oncology has long been considered an ideal approach to managing and treating cancer. This strategy aims to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments, and predictions to specific individuals or population groups. To achieve these goals, vast amounts of patient or population group-specific data need to be integrated and analyzed to identify key patterns or features that can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can range from molecular patterns to features in medical images. This level of data analysis and integration can only be accomplished through the use of artificial intelligence (AI).

The book is divided into three parts, starting with a section on the use of AI for screening, diagnosis, and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis, and accurate prognosis.

This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff, and medical residents interested in cancer research as well as those specializing as clinical oncologists.

Weight: 664g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031215056
Edition number: 1st ed. 2023