Nature Biomedical Engineering, Published online: 05 October 2026; doi:10.1038/s41551-026-01806-4Multi-organ-on-a-chip systems aim to improve the prediction of human drug responses by replicating organ interactions in vitro. This Review discusses advances in niche-preserving engineering, scalable manufacturing and multimodal readouts needed to make these systems reliable tools.

We are seeking a PhD candidate / junior researcher to develop and apply an innovative on-chip technology platform for integrated neuronal ...

We are seeking a PhD candidate / junior researcher to develop and apply an innovative on-chip technology platform for integrated neuronal ...

In a significant advancement for lab-on-chip technology, IBEC researchers in the frame of the European project BLOC, have demonstrated the first integration of a benchtop nuclear magnetic resonance (NMR) spectrometer with a microfluidic cell culture platform capable of real-time metabolic monitoring, made feasible by employing quantum-enhanced NMR techniques to dramatically increase signal sensitivity.

Liver-on-a-chip models predictive for both metabolism as well as canalicular and blood transport of

Why oxygen measurement is essential in organ-on-chip and advanced in vitro models.

Moerkens et al. explore how medium composition and culture platform affect cell identity and gene expression profile of hiPSC-derived intestinal epithelial cells. They show that gradient medium condit...

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

npj Biomedical Innovations - Engineering human Gut-on-a-Chip culturomics for predictive pharmacomicrobiomics of first-pass metabolism

**Abstract:** This paper presents a novel approach to modeling human liver-on-a-chip (hLOC) systems for personalized drug metabolism prediction. Combining advanced microfluidic simulation with dynamic Bayesian network (DBN) inference, we develop a system capable of dynamically adapting to complex physiological conditions, significantly improving the accuracy of drug response prediction. The core innovation lies in integrating detailed computational fluid dynamics (CFD) with a DBN trained on patient-specific genomic and metabolic data, creating a hybrid model that captures both micro-scale fluid dynamics and macro-scale physiological variations.

**Abstract:** This paper presents a novel, automated microfluidic Liver-on-a-Chip (LoC) platform coupled with a multi-modal data integration and Bayesian network modeling pipeline for personalized drug metabolism prediction. Existing LoC systems often lack automated control and robust data analysis, hindering their widespread adoption for drug development. Our platform combines advanced microfluidic design with automated control, real-time imaging, and electrochemical sensing, generating a comprehensive dataset of hepatocyte viability, metabolic activity (CYP450 enzyme expression), and drug response.