From conventional screening to self-driving discovery: Organ-on-Chip platforms as engines for AI-guided nanomedicine

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Authors: Kimia Asadi Jozani, Karen Shen, Nicky Anvarihamedani, Daniel Hocevar, Rosanna Jiang, Boyang Zhang, Ilya Yakavets, Yimu Zhao
Cited by: 5
References: 185

Abstract

Nanoparticles have become an essential platform for next-generation drug delivery and therapeutic development, yet clinical translation remains limited by an incomplete understanding of their interactions within human biological systems. Organ-on-a-chip technology offers a powerful approach to evaluate efficacy and safety of nanomedicine under physiologically relevant conditions in human cells by recreating fluid flow, mechanical stress, barrier function, immune interactions and inter-organ communications. These advanced in vitro systems allow quantitative assessments of nanoparticle transport, distribution, and safety with improved human relevance compared to conventional cell culture and animal models. The integration of sensors within organ-on-a-chip platforms enables real-time monitoring of tissue responses and nanoparticle kinetics. Advances in automation and robotic liquid handling support scalable and reproducible testing across multiple tissue models. Artificial intelligence and active learning tools facilitate automated data analysis and experimental optimization, paving the way towards self-driving nanomedicine evaluation platforms that accelerate discovery and clinical translation.

Fields of Study & Subjects

Micro and Nano Robotics Molecular Communication and Nanonetworks Advanced biosensing and bioanalysis techniques

Publication details

Journal / source
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Volume
232
Pages
115835–115835
Publication date
24 February 2026
Language
EN