Issue 17, 2023

Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases

Abstract

Magnetic nanoparticles possess unique properties distinct from other types of nanoparticles developed for biomedical applications. Their unique magnetic properties and multifunctionalities are especially beneficial for central nervous system (CNS) disease therapy and diagnostics, as well as targeted and personalized applications using image-guided therapy and theranostics. This review discusses the recent development of magnetic nanoparticles for CNS applications, including Alzheimer's disease, Parkinson's disease, epilepsy, multiple sclerosis, and drug addiction. Machine learning (ML) methods are increasingly applied towards the processing, optimization and development of nanomaterials. By using data-driven approach, ML has the potential to bridge the gap between basic research and clinical research. We review ML approaches used within the various stages of nanomedicine development, from nanoparticle synthesis and characterization to performance prediction and disease diagnosis.

Graphical abstract: Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases

Article information

Article type
Review Article
Submitted
21 мар 2023
Accepted
24 юли 2023
First published
28 юли 2023
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2023,5, 4354-4367

Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases

A. Tomitaka, A. Vashist, N. Kolishetti and M. Nair, Nanoscale Adv., 2023, 5, 4354 DOI: 10.1039/D3NA00180F

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