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AI and Precision Oncology: Innovations in Diagnosis and Drug Development

Editat de Arun Kumar Singh, Prateek Agrawal, Niraj Kumar Jha
en Limba Engleză Paperback – mar 2027
AI and Precision Oncology: Innovations in Diagnosis and Drug Development examines the transformative role of artificial intelligence and machine learning in oncology. The book addresses the urgent need for early cancer diagnosis and effective therapeutic treatments, highlighting how technological advancements enable rapid analysis of large datasets to enhance patient outcomes. The content explores clinical applications of next-generation sequencing (NGS) integrated with AI technologies, covering risk prediction, disease detection, biomarker identification, and therapeutic target discovery. The book emphasizes the importance of bioinformatics tools in analyzing NGS data and showcases AI-powered applications that improve cancer diagnosis and prognostication.

For the academic audience, this book provides valuable insights into the latest advancements in AI and precision oncology. It equips researchers and clinicians with knowledge on personalized treatment strategies and recent clinical studies, ultimately enhancing understanding of how AI can revolutionize cancer care and improve patient management.

  • Provides an in-depth exploration of how artificial intelligence and machine learning are integrated into various aspects of oncology, including diagnosis, treatment planning, and patient management
  • Emphasizes the critical role of next-generation sequencing technologies in precision oncology, detailing their applications in risk prediction, biomarker identification, and therapeutic target discovery
  • Highlights how AI-driven tools can assist in tailoring personalized treatment options based on genetic, environmental, and lifestyle factors
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Specificații

ISBN-13: 9780443445835
ISBN-10: 0443445834
Pagini: 350
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

1. Artificial Intelligence Applications in Clinical Oncology: A Comprehensive Overview
2. Artificial Intelligence Tools in Cancer Diagnosis and Treatment
3. The Role of Machine Learning in Personalized Cancer Care
4. The Role of Artificial Intelligence in Advancing Digital Pathology for Oncology
5. Transformative Applications of Artificial Intelligence in Digital Pathology: Bridging the Gap Between Research and Clinical Practice
6. Imaging in Neuro-Oncology: Clinical Uses of Radiomics and Artificial Intelligence
7. AI-Driven Digital Histopathology: Revolutionizing Prognostication and Treatment Efficacy in Cancer Care
8. Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
9. Precision Oncology and Immune Therapy with the Use of AI and Digital Biomarkers in Precision Pathology
10. Evaluating Artificial Intelligence's (AI) Significance in Clinical Oncology: Practical Applications of Machine Learning for Radiotherapy
11. Regulatory Pathways for AI in Cancer Therapy
12. Challenges Associated with AI in Cancer Therapy
13. Current and Future Applications of Artificial Intelligence in Cancer Pathology: A Clinical Perspective