02520nam 22004573 450 991098567750332120230402090344.09781527500891(electronic bk.)9781443895200(MiAaPQ)EBC30461611(Au-PeEL)EBL30461611(CKB)26356785200041(Exl-AI)30461611(OCoLC)1375296900(EXLCZ)992635678520004120230402d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence Multiomics in Precision Oncology1st ed.Newcastle-upon-Tyne :Cambridge Scholars Publishing,2023.©2023.1 online resource (517 pages)Print version: Srivastava, Ruby Artificial Intelligence Multiomics in Precision Oncology Newcastle-upon-Tyne : Cambridge Scholars Publishing,c2023 9781443895200 Intro -- Dedication -- Table of Contents -- Preface -- Acknowledgements -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11 -- Chapter 12 -- Chapter 13.Advances in next-generation technology (NGS) coupled with a deep understanding of cancer biology have promoted the rational design of target therapy towards precision oncology. Artificial Intelligence (AI)-integrated machine learning techniques are also increasingly used today to tackle the challenges of scalability and high dimensionality data and to transform multiomics data into clinically actionable knowledge. AI tools are used to support clinical decision making and improve clinical efficiency, while delivering safe and high value care. This book provides comprehensive analysis of such techniques and advancements of AI-based clinical cancer research in the improvement of cancer prognosis and diagnosis, resulting in enhanced prediction rates and survival of cancer patients.Artificial intelligenceGenerated by AIPrecision medicineGenerated by AIArtificial intelligencePrecision medicine616.9940028563Srivastava Ruby1792915MiAaPQMiAaPQMiAaPQ9910985677503321Artificial Intelligence Multiomics in Precision Oncology4332065UNINA