Artificial Intelligence in Drug Delivery Systems for Diagnosis and Treatment of Cancer

A special issue of Biomedicines (ISSN 2227-9059).

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 247

Special Issue Editors


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Guest Editor
Department of Teleinformatics Engineering (DETI), Federal University of Ceará, Fortaleza, Brazil
Interests: biomedical engineering; bioinformatics; internet of medical things; artificial intelligence; pattern recognition; signal data science; metaverse

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Guest Editor
Department of Computer & Information Science, Fordham University, Bronx, NY 10458, USA
Interests: computer networking and security; software-defined networking; blockchain technology; artificial intelligence; machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electronics & Communication Engineering, Mepco Schlenk Engineering College, Sivakasi 626005, India
Interests: artificial intelligence

Special Issue Information

Dear Colleagues,

Artificial intelligence gives researchers and practitioners a new way of assessing cancer diagnosis and treatment. It enables the cancer diagnosis to be more predictive with better patient outcomes in order to be able to gain awareness of which treatments might work best for which persons. For most drugs to be active for cancer treatment, they must only target the affected cancer cells and penetrate the cells for drug delivery. Scientists have sought to develop tiny nanoparticles that can be loaded with drugs. Modified nanoparticles can become attached to cancer cells and carried inside. To ensure that the nanoparticles only attack the diseased cells, they need to be engineered to only point to the targeted cells without affecting the healthy cells. Upon reaching the digestive system of the cells, the nanoparticles are degraded once the drug is released into the cell. As a researcher, the magic wand of artificial-intelligence-aided solutions can be taken up to enable the intelligent categorization of affected cells so that the drugs can be delivered to the corresponding cells. Such intelligent means of drug delivery represent the best alternative to conventional chemotherapy. With proper awareness, the incorporation of artificial intelligence technology in drug delivery systems will be the best fit for the diagnosis and treatment of cancer. However, with the awareness and incorporation of novel artificial intelligence solutions for drug delivery still in its infancy, it is essential to support the complete eradication of cancer by predicting and treating them at much earlier stages.

There are still many challenges in improving the accuracy, efficiency, and usability of AI models for cancer treatment driving the drug delivery systems, and problems related to designing, developing, and deploying new reliable and ethical drug delivery mechanisms. Thus, this Special Issue focuses on current AI-enabled solutions for cancer drug delivery and presents the latest research advances in this particular field.

Prof. Dr. Victor Hugo C. De Albuquerque
Dr. Mohamed Rahouti
Dr. Senthil Kumar Jagatheesaperumal
Guest Editors

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Keywords

  • drug delivery
  • artificial intelligence
  • cancer treatment

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