Peer-reviewedCC BYBioengineering (Basel, Switzerland)
Machine Learning-Based Prediction of Bioprinting Quality Using Integrated Experimental and Computational Data
- 1Department of Computer Science, , Amman 11733, Jordan
- 2Faculty of Pharmacy, , Amman 11733, Jordan; (S.A.T.); (O.T.)
- 3Department of Cybersecurity, , Amman 11733, Jordan;
Related
- Identification of esculin as a direct modulator of IGF1 in cervical cancer with integrated computational and experimental studies
- Integrated Experimental and Computational Investigation of Fluorinated Benzoylthiourea Derivatives: Structural Characterization, Hirshfeld Surface Analysis, Antioxidant Activity, and MAO–B Inhibitory Potential for Parkinson’s Disease
- Characterization of lower-extremity biomechanics when walking with a hands-free crutch: an integrated experimental and computational analysis
- Hemodynamic-Structural Multi-Fidelity Assessment of Endovascular Flow Diversion Strategies for Cerebral Aneurysm Treatment: An Integrated Computational and Experimental Framework
- Network Pharmacology of Natural Products from Computational Prediction to Experimental Validation
BibTeX
@article{maria2026machine,
title = {{Machine Learning-Based Prediction of Bioprinting Quality Using Integrated Experimental and Computational Data}},
author = {Khulood Abu Maria and Sara Abu Tarboosh and Adi El-Dalahmeh and Ola Tarawneh},
journal = {Bioengineering (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13701627},
note = {CC BY},
}
RIS
TY - JOUR
TI - Machine Learning-Based Prediction of Bioprinting Quality Using Integrated Experimental and Computational Data
AU - Khulood Abu Maria
AU - Sara Abu Tarboosh
AU - Adi El-Dalahmeh
AU - Ola Tarawneh
PY - 2026
DA - 2026/10/01
JO - Bioengineering (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13701627
SN - 2306-5354
ER -