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Artificial Intelligence and Precision Oncology

Name: Artificial Intelligence and Precision Oncology
Brand: Springer, Berlin
SKU: 9783031215056
Price: 1012.58 RON
Availability: InStock

Bridging Cancer Research and Clinical Decision Support

Autor: Zodwa Dlamini

Limbă:

Legare: Copertă tare

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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This book highlights the use of artificial intelligence (AI), big data and precision oncology for me...

Informații despre carte

Autor

Zodwa Dlamini

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2023

Pagini

315

EAN

9783031215056

Enbook ID

41908422

Editura

Springer, Berlin

Greutate

639

Dimensiuni

155 x 235

Descriere completă

This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI.The book is divided into three parts starting with a section on the use of artificial intelligence 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 specialising as clinical oncologists.