Applied Machine Learning for IoT and Data Analytics (Volume-4)- Elevating Next Generation Genomic Science and Technology Using Machine Learning for the Healthcare Sector explores how machine learning and artificial intelligence are transforming modern genomics and healthcare. The book highlights how advanced computational methods can analyse complex genomic data to improve disease detection, enable personalised treatments, and support precision medicine.
It covers key applications such as AI-driven cancer detection, microbiome analysis, genome annotation, mutation detection, and pharmacogenomics. The chapters also discuss real-world healthcare applications, ethical concerns, and data privacy challenges, offering a balanced view of both opportunities and limitations in AI-driven genomic research.
Key Features:
-Comprehensive coverage of machine learning applications in genomics
-Focus on precision medicine, disease prediction, and personalised therapies
-Integration of bioinformatics, AI, and healthcare applications
-Real-world case studies and analytical frameworks
-Discussion of ethical, privacy, and regulatory considerations
eBook - ePub
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry
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Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- Preface
- Acknowledgements
- List of Contributors
- Overview of Next Generation Genomic Science and Technology Utilising Machine Learning in Healthcare
- A Review of AI-Driven Genomic Approaches for Cancer Detection and Personalised Medicine
- Machine Learning Approaches for Microbiome Analysis and Applications
- Machine Learning Model for Annotation and Assembly of Genomes
- Extending Bayesian Classification to Predict Phase Transition in Biopolymer
- Ethical Aspects of Analysing Genomic Data for Medical Analysis: A Comparative Study with a Focus on India
- Integrating Pharmacogenomics and Machine Learning in Personalised Treatment Strategies for Parkinson’s Disease
- Analysing Microbiome Metagenomics to Detect Anomaly using Variational Autoencoders (VAE) and Generative Adversarial Network (GAN) for Predicting Crohn’s Disease
- Leveraging ML Models for the Future of Genomes
- Conclusion: The Transformative Role of Machine Learning in Genomic Science and Healthcare
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Yes, you can access Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry by Roohi Sille,Tanupriya Choudhury,Sonal Talreja in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.