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Applying Model Approaches In Non-Model Systems: A Review And Case Study On Coral Cell Culture, Liza M. Roger, Hannah Reich, Evan Lawrence, Shuaifeng Li, Whitney Vizgaudis, Nathan Brenner, Lokender Kumar, Judith Klein-Seetharaman, Jinkyu Yang, Hollie M. Putnam, Nastassja Lewinski
Applying Model Approaches In Non-Model Systems: A Review And Case Study On Coral Cell Culture, Liza M. Roger, Hannah Reich, Evan Lawrence, Shuaifeng Li, Whitney Vizgaudis, Nathan Brenner, Lokender Kumar, Judith Klein-Seetharaman, Jinkyu Yang, Hollie M. Putnam, Nastassja Lewinski
Chemical and Life Science Engineering Publications
Model systems approaches search for commonality in patterns underlying biological diversity and complexity led by common evolutionary paths. The success of the approach does not rest on the species chosen but on the scalability of the model and methods used to develop the model and engage research. Fine-tuning approaches to improve coral cell cultures will provide a robust platform for studying symbiosis breakdown, the calcification mechanism and its disruption, protein interactions, micronutrient transport/exchange, and the toxicity of nanoparticles, among other key biological aspects, with the added advantage of minimizing the ethical conundrum of repeated testing on ecologically threatened organisms. The …
Machine Assisted Experimentation Of Extrusion-Based Bioprinting Systems, Shuyu Tian, Rory Stevens, Bridget T. Mcinnes, Nastassja Lewinski
Machine Assisted Experimentation Of Extrusion-Based Bioprinting Systems, Shuyu Tian, Rory Stevens, Bridget T. Mcinnes, Nastassja Lewinski
Chemical and Life Science Engineering Publications
Optimization of extrusion-based bioprinting (EBB) parameters have been systematically conducted through experimentation. However, the process is time- and resource-intensive and not easily translatable to other laboratories. This study approaches EBB parameter optimization through machine learning (ML) models trained using data collected from the published literature. We investigated regression-based and classification-based ML models and their abilities to predict printing outcomes of cell viability and filament diameter for cell-containing alginate and gelatin composite bioinks. In addition, we interrogated if regression-based models can predict suitable extrusion pressure given the desired cell viability when keeping other experimental parameters constant. We also compared models trained …