Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review.

Journal: Frontiers in medicine
Published Date: Jan 1, 2025

Abstract

Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The recent technological developments in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), are transforming the nanomedicine field by improving disease diagnosis, biomarker identification, prognostic assessment and disease monitoring, targeted drug delivery, and therapeutic intervention as well as contributing to computational and methodological developments. These advancements can be achieved by analysis of large clinical datasets and facilitating the design and optimization of nanomaterials for testing. Such advancement offers exciting possibilities for the improvement in the management of brain disorders, including brain cancer, Alzheimer's disease, Parkinson's disease, and multiple sclerosis, where early diagnosis, targeted delivery, and effective treatment strategies remain a great challenge. This review article provides an overview of recent advances in AI-based nanomedicine development to accelerate effective and quick diagnosis, biomarker identification, prognosis, drug delivery, methodological advancement and patient-specific therapies for managing brain disorders.

Authors

  • Pankaj Dipankar
    National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States.
  • Diego Salazar
    National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States.
  • Elizabeth Dennard
    Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States.
  • Shanid Mohiyuddin
    Division of Hematology and Medical Oncology, Department of Medicine, Ellis Fischel Cancer Center, University of Missouri, Columbia, MO, United States.
  • Quynh C Nguyen
    Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States.

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