Nanoparticles and convergence of artificial intelligence for targeted drug delivery for cancer therapy: Current progress and challenges

Abstract

Cancer is a life-threatening disease, resulting in nearly 10 million deaths worldwide. There are various causes of cancer, and the prognostic information varies in each patient because of unique molecular signatures in the human body. However, genetic heterogeneity occurs due to different cancer types and changes in the neoplasms, which complicates the diagnosis and treatment. Targeted drug delivery is considered a pivotal contributor to precision medicine for cancer treatments as this method helps deliver medication to patients by systematically increasing the drug concentration on the targeted body parts. In such cases, nanoparticle-mediated drug delivery and the integration of artificial intelligence (AI) can help bridge the gap and enhance localized drug delivery systems capable of biomarker sensing. Diagnostic assays using nanoparticles (NPs) enable biomarker identification by accumulating in the specific cancer sites and ensuring accurate drug delivery planning. Integrating NPs for cancer targeting and AI can help devise sophisticated systems that further classify cancer types and understand complex disease patterns. Advanced AI algorithms can also help in biomarker detection, predicting different NP interactions of the targeted drug, and evaluating drug efficacy. Considering the advantages of the convergence of NPs and AI for targeted drug delivery, there has been significantly limited research focusing on the specific research theme, with most of the research being proposed on AI and drug discovery. Thus, the study's primary objective is to highlight the recent advances in drug delivery using NPs, and their impact on personalized treatment plans for cancer patients. In addition, a focal point of the study is also to highlight how integrating AI, and NPs can help address some of the existing challenges in drug delivery by conducting a collective survey.

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“…With this type of design, data size and computational complexity were said to be reduced in an extensive manner. In 20 , a hypothesis of current progress in the field of nanoparticles towards efficient drug delivery was investigated in depth. The time was minimized for cancer treatments.…”

Recent Advances in Cancer Immunotherapy Delivery Modalities

“…In the future, there will be significant progress in the development of nanorobots or implantable microchips that can deliver drugs and control tumor progress. The future onco-medicine developments require intelligent and robust multi-disciplinary approaches, where computer-based artificial intelligence and biotechnology should go hand in hand in developing intelligent nanorobotic-based drug carriers for delivering nanomedicines [ 200 ]. One has to carefully iterate their potential to impact on animals and environment, which needs to be considered before their approval for treatment.…”

A Mini‐Review on the Application of Computational Strategies in Multi‐Armed Star‐PEG Polymeric Micelles for Drug Delivery

“…In particular, AI can contribute to a deeper understanding of the intricate dynamics between targeted drugs, the immune system, and cell membranes, facilitating the improvement of nanomedicine research. [128] Effective drug delivery requires the development of PM formulations based on PEG and the improvement of current formulation methods. We hope that a thorough investigation of drug encapsulation will illuminate the way to develop novel PEG systems for human ingestion.…”