Artificial Intelligence in Cancer, Biology and Oncology

This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems ar...

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Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2024
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collection Directory of Open Access Books
description This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups which are focused on AI in diagnosis and therapy: AI in prognosis, grading and prediction; AI in clinical image analysis; AI models for pathological diagnosis; ML and statistical models for molecular cancer diagnostics and genetics; and AI in cancer triage, risk stratification, and screening. All necessary concepts, solutions, methodologies, and references are supplied, except for some fundamental knowledge that is well known in the general ?elds of AI and cancer, biology, and oncology. The readers may therefore gain the main concepts of each chapter, little need to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the reprint according to their own interests.
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1393112024-07-04T09:40:45Z Artificial Intelligence in Cancer, Biology and Oncology Khayyam, Hamid Hekmatnia, Ali Kafieh, Rahele artificial intelligence machine learning bioinformatics modeling complex biological systems computational cancer biology computational drug discovery radiology radiation therapy (oncology) cancer diagnosis and cancer therapy thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups which are focused on AI in diagnosis and therapy: AI in prognosis, grading and prediction; AI in clinical image analysis; AI models for pathological diagnosis; ML and statistical models for molecular cancer diagnostics and genetics; and AI in cancer triage, risk stratification, and screening. All necessary concepts, solutions, methodologies, and references are supplied, except for some fundamental knowledge that is well known in the general ?elds of AI and cancer, biology, and oncology. The readers may therefore gain the main concepts of each chapter, little need to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the reprint according to their own interests. 2024-07-04T09:40:41Z 2024-07-04T09:40:41Z 2024 book ONIX_20240704_9783725811113_107 9783725811113 9783725811120 https://directory.doabooks.org/handle/20.500.12854/139311 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/topic/9307 https://mdpi.com/books/pdfview/topic/9307 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1112-0 10.3390/books978-3-7258-1112-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811113 9783725811120 314 open access
spellingShingle artificial intelligence
machine learning
bioinformatics
modeling complex biological systems
computational cancer biology
computational drug discovery
radiology
radiation therapy (oncology)
cancer diagnosis and cancer therapy
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Artificial Intelligence in Cancer, Biology and Oncology
title Artificial Intelligence in Cancer, Biology and Oncology
title_full Artificial Intelligence in Cancer, Biology and Oncology
title_fullStr Artificial Intelligence in Cancer, Biology and Oncology
title_full_unstemmed Artificial Intelligence in Cancer, Biology and Oncology
title_short Artificial Intelligence in Cancer, Biology and Oncology
title_sort artificial intelligence in cancer biology and oncology
topic artificial intelligence
machine learning
bioinformatics
modeling complex biological systems
computational cancer biology
computational drug discovery
radiology
radiation therapy (oncology)
cancer diagnosis and cancer therapy
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
topic_facet artificial intelligence
machine learning
bioinformatics
modeling complex biological systems
computational cancer biology
computational drug discovery
radiology
radiation therapy (oncology)
cancer diagnosis and cancer therapy
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
url ONIX_20240704_9783725811113_107