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RESEARCH PAPER · Matter · 2023

Integrated data-driven modeling and experimental optimization of granular hydrogel matrices

Connor A. Verheyen, Sebastien G. M. Uzel, Armand Kurum, Ellen T. Roche, Jennifer A. Lewis

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42 direct citing works

Integrated data-driven modeling and experimental optimization of granular hydrogel matricesOriginal3D printing microporous scaffolds from modular bioinks containing sacrificial, cell-encapsulating microgels21Granular Hydrogels in Biofabrication: Recent Advances and Future Perspectives126AI-enabled organoids: Construction, analysis, and application207Multimaterial 3D and 4D Bioprinting of Heterogenous Constructs for Tissue Engineering154Spectral operator learning for parametric PDEs without data reliance16The microparticulate inks for bioprinting applications23In situ polymer gelation in confined flow controls intermittent dynamics6Methods to achieve tissue-mimetic physicochemical properties in hydrogels for regenerative medicine and tissue engineering21Enhancing quality control in bioprinting through machine learning36Granular Hydrogels Improve Myogenic Invasion and Repair after Volumetric Muscle Loss39Forced capillary wetting of viscoelastic fluids5Open-Loop Control System for High Precision Extrusion-Based Bioprinting Through Machine Learning Modeling8Harnessing the power of artificial intelligence for human living organoid research42Microfluidic-Assisted Pneumatic Droplet Generators Designed for Multiscenario Biomanufacturing with Favorable Biocompatibility and Extendibility3Machine Learning Driven Optimization for High Precision Cellular Droplet Bioprinting5Forced Wetting of Shear-Thinning Fluids in Confined Capillaries3Engineered Shape‐Morphing Transitions in Hydrogels Through Suspension Bath Printing of Temperature‐Responsive Granular Hydrogel Inks47Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels26Data-driven techniques in rheology: Developments, challenges and perspective29AI-driven 3D bioprinting for regenerative medicine: From bench to bedside101Leveraging printability and biocompatibility in materials for printing implantable vessel scaffolds8Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization8Polymer gels for aqueous metal batteries22Application of human cardiac organoids in cardiovascular disease research8Data-driven psychorheology: application to yogurt sensory texture analysis7The application of organoids in investigating immune evasion in the microenvironment of gastric cancer and screening novel drug candidates28Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting20Investigation of Thermomechanical Properties of Hollow Glass Microballoon-Filled Composite Materials Developed by Additive Manufacturing with Machine Learning Validation4Generalizing Gelatin Methacryloyl Granular Hydrogel Fabrication Using Stable Microgels with Predictable Stiffness8Artificial intelligence unlocks the future of oral organoid research4Material extrusion of biomaterials for transformative biomedical applications0Granular Hydrogels as Modular Biomaterials: From Structural Design to Biological Responses13Artificial intelligence-enabled Bioprinting 5.03Artificial Intelligence in Predicting Performance of Sustainable Marine Materials0Smart hydrogels for tissue engineering and regenerative medicine: how far have we come14The Space Within: How Architected Voids Promote Tissue Formation53D Printing Colloidal Gels: Navigating the Printability Barrier0AI-driven closed-loop extrusion-based bioprinting system: from dynamic regulation to medical translation2Artificial Intelligence Informed Hydrogel Biomaterials in Additive Manufacturing28Three-dimensional (3D) bioprinting based on microgel: design, properties, and applications4Introduction0Manipulation of close-packed hydrogel microbeads in microscale channels: A review on fundamentals and biomedical applications0Technical Challenges and Future Trends0Chitosan/MXene hydrogels for biomedical and self-powered health-monitoring bioelectronics: Challenges and strategic solutions6Research Progress in Artificial Intelligence-Assisted Preparation of High-Quality Biomaterials6Microengineered Gradient Hydrogels for Mechanobiology1Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring5Artificial intelligence-enabled organoids and organ-on-a-chip for pioneering biomedical platforms0Machine learning–guided design of cooperative multi-size hydrogel microspheres for osteoarthritis therapy2Rise and fall of void population governs the porous-to-solid transition in soft granular materials0Integration of Artificial Intelligence and Microfluidics for Drug Delivery Applications0A critical review of artificial intelligence in biomaterials science from machine learning and explainable AI to real-time adaptive materials0

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  1. 3D printing microporous scaffolds from modular bioinks containing sacrificial, cell-encapsulating microgels

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  2. Granular Hydrogels in Biofabrication: Recent Advances and Future Perspectives

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  3. AI-enabled organoids: Construction, analysis, and application

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  4. Multimaterial 3D and 4D Bioprinting of Heterogenous Constructs for Tissue Engineering

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  5. Spectral operator learning for parametric PDEs without data reliance

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  6. The microparticulate inks for bioprinting applications

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  7. In situ polymer gelation in confined flow controls intermittent dynamics

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  8. Methods to achieve tissue-mimetic physicochemical properties in hydrogels for regenerative medicine and tissue engineering

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  9. Enhancing quality control in bioprinting through machine learning

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  10. Granular Hydrogels Improve Myogenic Invasion and Repair after Volumetric Muscle Loss

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  11. Forced capillary wetting of viscoelastic fluids

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  12. Open-Loop Control System for High Precision Extrusion-Based Bioprinting Through Machine Learning Modeling

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  13. Harnessing the power of artificial intelligence for human living organoid research

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  14. Microfluidic-Assisted Pneumatic Droplet Generators Designed for Multiscenario Biomanufacturing with Favorable Biocompatibility and Extendibility

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  15. Machine Learning Driven Optimization for High Precision Cellular Droplet Bioprinting

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  16. Forced Wetting of Shear-Thinning Fluids in Confined Capillaries

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  17. Engineered Shape‐Morphing Transitions in Hydrogels Through Suspension Bath Printing of Temperature‐Responsive Granular Hydrogel Inks

    Advanced Materials · 2024-10-02

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  18. Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels

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    Sakib Mohammad, Rafee Akand, Kaden M. Cook, Sabrina Nilufar, Farhan Chowdhury

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  19. Data-driven techniques in rheology: Developments, challenges and perspective

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  20. AI-driven 3D bioprinting for regenerative medicine: From bench to bedside

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  21. Leveraging printability and biocompatibility in materials for printing implantable vessel scaffolds

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    Tianhong Chen, Haihong Jiang, Ruoxuan Zhang, Fan He, Ning Han, Zhimin Wang, Jia Jia

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  22. Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization

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  23. Polymer gels for aqueous metal batteries

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  24. Application of human cardiac organoids in cardiovascular disease research

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  25. Data-driven psychorheology: application to yogurt sensory texture analysis

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  26. The application of organoids in investigating immune evasion in the microenvironment of gastric cancer and screening novel drug candidates

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  29. Generalizing Gelatin Methacryloyl Granular Hydrogel Fabrication Using Stable Microgels with Predictable Stiffness

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  32. Granular Hydrogels as Modular Biomaterials: From Structural Design to Biological Responses

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  34. Artificial Intelligence in Predicting Performance of Sustainable Marine Materials

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  35. Smart hydrogels for tissue engineering and regenerative medicine: how far have we come

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  36. The Space Within: How Architected Voids Promote Tissue Formation

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  39. Artificial Intelligence Informed Hydrogel Biomaterials in Additive Manufacturing

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  41. Introduction

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  44. Chitosan/MXene hydrogels for biomedical and self-powered health-monitoring bioelectronics: Challenges and strategic solutions

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  49. Machine learning–guided design of cooperative multi-size hydrogel microspheres for osteoarthritis therapy

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  50. Rise and fall of void population governs the porous-to-solid transition in soft granular materials

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