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    AI and Data Science in Medical Research

    AI and Data Science in Medical Research by Boubaker, Olfa;

    Series: Medical Robots and Devices: New Developments and Advances;

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      • Publisher's listprice EUR 167.99
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        71 261 Ft (67 867 Ft + 5% VAT)
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    71 261 Ft

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    Product details:

    • Publisher Academic Press
    • Date of Publication 1 November 2025

    • ISBN 9780443276385
    • Binding Paperback
    • No. of pages450 pages
    • Size 234x190 mm
    • Language English
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    Long description:

    AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. It addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

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    Table of Contents:

    Introduction to AI and Data Science in Medical Research

    Part 1. Drug Discovery and Development
    1. Drug Discovery and Development: Leveraging AI and data science to accelerate the discovery of novel therapeutic compounds and optimize drug development pipelines
    2. Artificial Intelligence and Data Science in Drug Discovery and Development
    3. Leveraging AI and Data Science to accelerate the discovery of novel therapeutic compounds and optimize drug development pipelines

    Part 2. Medical Imaging and Diagnostics
    4. Advancements in Medical Imaging: Harnessing AI for Early Disease Detection and Diagnosis
    5. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis

    Part 3. Genomic Medicine
    6. Comprehensive Review of Distributed Deep Learning Approaches for Genomics Analysis
    7. Revolutionizing Genomic Medicine with AI and Data Analytics

    Part 4. Public Health Surveillance
    8. Dataset on the COVID-19 Pandemic Situation in Tunisia with application to SIR Model
    9. Harnessing AI for Enhanced Public Health Surveillance: Revolutionizing Disease Detection and Epidemiological Research
    10. Stochastic Forecasting Model: Spread of COVID-19 Virus as an Example
    11. Impact of Environmental Reservoirs and Host Interactions on Mpox Transmission: A Deterministic Modeling Approach
    12. Conclusion to AI and Data Science in Medical Research Topics

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