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Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.
The Need for Artificial Intelligence in Cancer Nanomedicine
Application of Artificial Intelligence for Designing Cancer Nanomedicine
Artificial Intelligence and its Application in Cancer Nanomedicine
Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine
Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile
Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine
Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells
Artificial Intelligence for Cancer Nanotheranostics
Ethical Dimensions of Using Artificial Intelligence in Healthcare