Editors: Fahima Dilnawaz, Ajit Kumar Behura

Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics

eBook: US $39 Special Offer (PDF + Printed Copy): US $66
Printed Copy: US $47
Library License: US $156
ISBN: 978-981-5050-57-8 (Print)
ISBN: 978-981-5050-56-1 (Online)
Year of Publication: 2022
DOI: 10.2174/97898150505611220101


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.

This book gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are:

- The need of AI and ML in designing new cancer drugs

- Application of AI in cancer drug design

- AI-based drug delivery models for cancer drugs

- Diagnostic applications of AI

- Intelligent nanosensors for biomarker profiling

- Predictive models for metastatic cancer

- Cancer nanotheranostics

- Ethics of AI in medicine

Contributions have been made by 16 researchers who are experts in pharmacology and drug design. The contents of the book bridge knowledge gaps between the fields of biomedical engineering, pharmacology and clinical medicine, with a focus on cancer treatment.

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.


- Pp. i
A.N. Misra
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- Pp. ii-iii (2)
Fahima Dilnawaz, Ajit Kumar Behura
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List of Contributors

- Pp. iv

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The Need for Artificial Intelligence in Cancer Nanomedicine

- Pp. 1-3 (3)
Fahima Dilnawaz*
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Application of Artificial Intelligence for Designing Cancer Nanomedicine

- Pp. 4-15 (12)
Fahima Dilnawaz*
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Artificial Intelligence and its Application in Cancer Nanomedicine

- Pp. 16-26 (11)
Sweta Mohanty, Sarbari Acharya, Chandana Mohanty*
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Artificial Intelligence-based Diagnostic Design for Precision Cancer Nanomedicine

- Pp. 27-38 (12)
Ranjita Misra*, Malathi Sampath
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Artificial Intelligence-based Nanosensors to Compose the Patient's Cancer Biomarker Profile

- Pp. 39-52 (14)
Malathi Sampath, Ranjita Misra*
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Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine

- Pp. 53-68 (16)
Pooja Jain, Sradhanjali Mohapatra, Nazia Hassan, Manvi Singh, Uzma Farooq, Mohd. Aamir Mirza, Zeenat Iqbal*
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Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells

- Pp. 69-77 (9)
Sarbari Acharya*, Chandana Mohanty
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Artificial Intelligence for Cancer Nanotheranostics

- Pp. 78-85 (8)
Sarbari Acharya*
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Ethical Dimensions of Using Artificial Intelligence in Healthcare

- Pp. 86-90 (5)
Ajit Kumar Behura*
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Subject Index

- Pp. 91-97 (7)

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