Artificial Intelligence in Urologic Malignancies
- 1st Edition - November 1, 2024
- Editor: Himanshu Arora
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 5 0 4 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 5 0 5 - 5
Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance… Read more
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Request a sales quoteArtificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance on how artificial intelligence can improve therapeutics, how the power of artificial intelligence integrated with current standard therapy and research can enhance decision-making, and proposes future directions on how to integrate artificial intelligence within clinical applications. This is the perfect reference for scientists and researchers interested in the basic translational research opportunities such as drug discovery, pharmacogenetics, and experimental therapeutics, as well as clinicians interested in how AI applications are integrated with applications.
- Provides guidance on AI integration that is expected to become standard in the future
- Places a special emphasis on prostate cancer and the integration of AI to show how to enhance personalized medicine
- Surveys current techniques and standards that can be shared and applied to fields outside cancer
Researchers of prostate cancer, urologists and oncologists. Bioinformatics specialists, software engineers, data scientists
1. Current Advancements of Machine Learning in Healthcare
2. Machine Learning in Pathology (Advancements in Screening and Discovery in Artificial Intelligence)
3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions
4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets
5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding
6. Pharmacogenomics and AI
7. Pharmacodynamics, Pharmacokinetics and AI
8. Adversarial Networks - Enhancing current methodology with new models
9. Pitfalls of Artificial Intelligence
- No. of pages: 350
- Language: English
- Edition: 1
- Published: November 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443155048
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