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Artificial Intelligence Multiomics in Precision Oncology

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Title: Artificial Intelligence Multiomics in Precision Oncology
Description: 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.
Authors: Ruby Srivastava, Author
Resource Type: eBook.
Subjects: Precision medicine, Artificial intelligence--Medical applications, Cancer--Treatment--Technological innovations, Artificial intelligence
Categories: MEDICAL / Oncology / General, COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3583432
RelevancyScore: 1116
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1116.28857421875
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  Data: Artificial Intelligence Multiomics in Precision Oncology
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  Label: Description
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  Data: 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.
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RecordInfo BibRecord:
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      – Code: 616.9940028563
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Precision medicine
        Type: general
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
      – SubjectFull: Cancer--Treatment--Technological innovations
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
    Titles:
      – TitleFull: Artificial Intelligence Multiomics in Precision Oncology
        Type: main
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            NameFull: Ruby Srivastava, Author
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            NameFull: Ruby Srivastava, Author
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 16
              M: 04
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9781443895200
            – Type: isbn-electronic
              Value: 9781527500891
          Titles:
            – TitleFull: Artificial Intelligence Multiomics in Precision Oncology
              Type: main
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