Targeted nanotechnology in bone cancer: Integrating stimuli responsive drug delivery and artificial intelligence for personalized therapy

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Authors: Pooja Dave, Brahmdutta Raval, Dhaval Mori, Kiran Dudhat
Cited by: 1
References: 222

Abstract

Bone cancer, including the combination of primary bone tumors and bone metastases, remains a difficult condition to treat because of its intricate structural elements and resistance to standard treatment methods of chemotherapy and radiotherapy and surgical interventions. Nanotechnology-based strategies have appeared as an exciting new option because they help target drugs to specific areas while boosting treatment outcomes and minimizing side effects. This review delves into bone metastasis mechanisms while exploring bone microenvironment functions during tumor progression together with current developments in nanoplatform-based therapeutic strategies. Researchers have developed five main types of nanocarriers which include polymeric micelles, liposomes, dendrimers, metallic nanoparticles and mesoporous silica nanoparticles to improve drug solubility, bioavailability and tumor selectivity. Present-day research focuses on bone-targeted delivery systems that employ bisphosphonates together with antibodies as well as bone areas. In stimuli responsive bone cancer therapy benefits from artificial intelligence (AI) and machine learning progress that enhances diagnostic accuracy and customizes treatment strategy and surgical execution. The field faces key limitations which include manufacturing large amounts of nanoparticles along with procurement of regulatory clearance and translation into medical practice. Future investigations need to address existing research barriers for creating advanced nanomedicine therapies which can suit individual patient needs in bone cancer treatment.

Fields of Study & Subjects

Bone health and treatments Management of metastatic bone disease Dendrimers and Hyperbranched Polymers

Publication details

Journal / source
Nano Trends
Publisher
Elsevier BV
Volume
13
Pages
100182–100182
Publication date
10 January 2026
Language
EN