Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Rokeya Sarah

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Journal of Manufacturing Science and Engineering|October 20, 2025
Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct MicroenvironmentsShah M Limon, Rokeya Sarah, Ahasan Habib
3D Printing and Additive Manufacturing|January 1, 2025
Factorial Design of Experiment Method to Characterize Bioprinting Process Parameters to Obtain the Targeted Scaffold PorosityConnor Quigley, Shah M Limon, Rokeya Sarah, et al.
Biofabrication|August 20, 2024
Constraint based Bayesian optimization of bioink precursor: a machine learning frameworkYihao Xu, Rokeya Sarah, Ahasan Habib, et al.
Journal of Manufacturing Science and Engineering|October 20, 2025
Design and Fabrication of In-House Nozzle System to Extrude Multi-Hydrogels for 3D Bioprinting ProcessAhasan Habib, Connor Quigley, Rokeya Sarah, et al.
Journal of Functional Biomaterials|January 27, 2026
Photo Crosslinkable Hybrid Hydrogels for High Fidelity Direct Write 3D Printing: Rheology, Curing Kinetics, and Bio-Scaffold FabricationRiley Rohauer, Kory Schimmelpfennig, Perrin Woods, et al.
Gels (Basel, Switzerland)|January 24, 2025
Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D BioprintingRokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, et al.
Journal of Manufacturing Science and Engineering|October 20, 2025
Data-Driven Optimization of Bioink Formulations for Extrusion-Based Bioprinting: A Predictive Modeling ApproachRokeya Sarah, Riley Rohauer, Kory Schimmelpfennig, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Manufacturing Science and Engineering|October 20, 2025
Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct MicroenvironmentsShah M Limon, Rokeya Sarah, Ahasan Habib
3D Printing and Additive Manufacturing|January 1, 2025
Factorial Design of Experiment Method to Characterize Bioprinting Process Parameters to Obtain the Targeted Scaffold PorosityConnor Quigley, Shah M Limon, Rokeya Sarah, et al.
Biofabrication|August 20, 2024
Constraint based Bayesian optimization of bioink precursor: a machine learning frameworkYihao Xu, Rokeya Sarah, Ahasan Habib, et al.
Journal of Manufacturing Science and Engineering|October 20, 2025
Design and Fabrication of In-House Nozzle System to Extrude Multi-Hydrogels for 3D Bioprinting ProcessAhasan Habib, Connor Quigley, Rokeya Sarah, et al.
Journal of Functional Biomaterials|January 27, 2026
Photo Crosslinkable Hybrid Hydrogels for High Fidelity Direct Write 3D Printing: Rheology, Curing Kinetics, and Bio-Scaffold FabricationRiley Rohauer, Kory Schimmelpfennig, Perrin Woods, et al.
Gels (Basel, Switzerland)|January 24, 2025
Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D BioprintingRokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, et al.
Journal of Manufacturing Science and Engineering|October 20, 2025
Data-Driven Optimization of Bioink Formulations for Extrusion-Based Bioprinting: A Predictive Modeling ApproachRokeya Sarah, Riley Rohauer, Kory Schimmelpfennig, et al.
Pageof 1