Artificial Intelligence-Aided Microfluidic Cell Culture Systems
Muhammad Sohail Ibrahim, Minseok Kim · 2025
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Description
Muhammad Sohail Ibrahim and Minseok Kim review how artificial intelligence is being woven into microfluidic cell culture and organ-on-a-chip systems. These chips mimic tissue behavior for disease modeling and drug testing, generating floods of images, sensor traces, and assay data. Making sense of that heterogeneity is the field's bottleneck.
Machine and deep learning now automate phenotyping, build predictive models, and even steer chip conditions in real time. The review gives weight to the unglamorous framework: preprocessing, dimensionality reduction, explainable feature choice, lightweight on-chip models, and privacy-preserving designs. Applications span cancer biology, drug screening, and toxicity testing. The authors map what a deployable AI-chip workflow actually requires.
Catalog record
| CREATOR | Muhammad Sohail Ibrahim, Minseok Kim |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |