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March 29, 2026Frontiers in PharmacologyOpen Access

From microfluidics to nanodelivery: artificial intelligence reshapes neuropharmacology research strategies

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Authors

CCChunbao ChenXDXue DuJYJing Yang

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Overview

This review explores how AI enhances drug screening and personalized therapy in neuropharmacology, highlighting advanced micro/nanotechnology applications.

Key Points

  • The aim is to examine how artificial intelligence and micro/nanotechnology can improve neuropharmacology research strategies.
  • Systematic review of microfluidic brain chips and nanodelivery systems.
  • Analysis of AI applications in drug development.
  • Examination of efficacy assessment and personalized therapeutic decision-making.
  • AI integration enhances predictive modeling and data analysis in neuropharmacology.
  • Micro/nanotechnology improves drug delivery efficiency and viably models neurological diseases.
  • The combination of AI and advanced technologies supports better outcomes in therapeutic strategies.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69c8c0b0de0f0f753b39b873https://doi.org/10.3389/fphar.2026.1796070
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