Informazioni
Non ci sono recensioni
Punto di Riferimento
per Medici e Operatori Sanitari
per Medici e Operatori Sanitari
LIBRERIA STUDIUM
Artificial Intelligence in Urologic Malignancies
Arora
Editore
Elsevier
Anno
2025
Pagine
270
ISBN
9780443155048
143,00 €
DA SCONTARE
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Artificial 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. |
| Features: |
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1. Current Advancements of ML in Healthcare
Nikhil Kulkarni, Aysswarya Manoharan, Apurva Ramanujam, Benjamin Vinarski, Sameer Deshmukh
2. Machine Learning and Pathology: A Historical Perspective
Yasamin Mirzabeigi, Sheetal Malpani, Seyedeh Mohammadi, Romy Paz, Richard Gasca, Himanshu Arora
3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions
Romy Paz, Apurva Ramanujam, Benjamin Vinarski, Abul Shadali
4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets
Sheetal Malpani, Richard Gasca, Ineabelle Collazo, Derek Booven
5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding
Alexandra Dullea, Ahmed Noman, Seyedeh Mohammadi, Aysswarya Manoharan, Sameer Deshmukh
6. ChatGPT and Healthcare- current and future prospects
Derek Booven, Cheng-Bang Chen
7. Adversarial Networks – Enhancing current methodology with new models
Cheng-Bang Chen, Derek Booven, Himanshu Arora
8. Limitations of AI in Healthcare
Cheng-Bang Chen, Meenakshy Manoharan, Derek Booven
