AI-Powered Nanomaterials for Targeted Drug Delivery in Cancer Therapy

Cancer continues to be a major global health concern, and while traditional therapies such as chemotherapyand radiation have proven effective, they often come with significant limitations, including non-specifictoxicity and the development of drug resistance. The advent of nanotechnology has provided a promisingavenue for overcoming these challenges by enabling the targeted delivery of drugs to tumor sites, whichreduces systemic toxicity and enhances therapeutic efficacy. Artificial intelligence (AI), particularly machinelearning (ML) and deep learning (DL), has the potential to revolutionize the design and optimization ofnanomaterials for cancer treatment. By utilizing AI, researchers can enhance the precision of drug deliverysystems, improve targeting, and optimize the therapeutic effectiveness of nanoparticles. This article exploresthe role of AI in the development of nanomaterials for targeted drug delivery in cancer therapy, focusing onits application to material selection, nanoparticle design, drug release, and personalized treatment strategies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-02
DOI
https://doi.org/10.5281/zenodo.15577901
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Nanomaterials for Targeted Drug Delivery in Cancer Therapy

Zenodo (CERN European Organization for Nuclear Research)
Nanoparticle-Based Drug Delivery
article

AI-Powered Nanomaterials for Targeted Drug Delivery in Cancer Therapy

article en

Abstract

Cancer continues to be a major global health concern, and while traditional therapies such as chemotherapyand radiation have proven effective, they often come with significant limitations, including non-specifictoxicity and the development of drug resistance. The advent of nanotechnology has provided a promisingavenue for overcoming these challenges by enabling the targeted delivery of drugs to tumor sites, whichreduces systemic toxicity and enhances therapeutic efficacy. Artificial intelligence (AI), particularly machinelearning (ML) and deep learning (DL), has the potential to revolutionize the design and optimization ofnanomaterials for cancer treatment. By utilizing AI, researchers can enhance the precision of drug deliverysystems, improve targeting, and optimize the therapeutic effectiveness of nanoparticles. This article exploresthe role of AI in the development of nanomaterials for targeted drug delivery in cancer therapy, focusing onits application to material selection, nanoparticle design, drug release, and personalized treatment strategies.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 59%
Nanoparticle-Based Drug Delivery
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AI-Powered Nanomaterials for Targeted Drug Delivery in Cancer Therapy · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS