Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting

Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting

Abstract Organoids produce through traditional manual pipetting methods face challenges such as labor‐intensive procedures and batch‐to‐batch variability in quality. To ensure consistent organoid production, 3D bioprinting platforms offer a more efficient alternative. However, optimizing multiple pr...

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Bibliographic Details
Main Authors: Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Advanced Science
Subjects:
bioprinting
cellular droplets
machine learning
optimization
Online Access:https://doi.org/10.1002/advs.202412831
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