Information technology contributes to facilitating various biological studies in chemical engineering. In this symposium, a wide range of biological studies related to information science are acceptable. We will discuss the challenges and potentials for our future researches.
Most recent update: 2024-12-22 22:48:01
The keywords that frequently used in this topics code. | Keywords | Number | |
---|---|---|---|
machine learning | 3 | ||
Escherichia coli | 1 |
ACKN No. | Title/Author(s) | Keywords | Style |
---|---|---|---|
394 | Predictive Modeling of Cell Viability in Extrusion-Based 3D Bioprinting using Machine Learning | Extrusion-based 3D bioprinting Cell viability Machine learning | O |
542 | Nanomolar Scale Peptide Identification on Polydiacetylene Sensors by Hyperspectral Imaging and Machine Learning | Polydiacetytlene Hyperspectral imaging Machine learning | O |
558 | Predominance of heterotrophic nitrifying bacteria in intermittent aeration nitrification-denitrification operations of high-load organic wastewater | Heterotrophic nitrifying bacteria Intermittent aeration High-load organic wastewater | O |
624 | Machine learning-based cancer diagnosis using size-dependent blood residence time of nanoparticles | machine learning cancer diagnosis blood residence time | O |
881 | Study on thermostabilization of enzymes through in silico mutagenesis with a constrained search space | enzyme engineering thermostability | O |
979 | The surface properties of buried plastics have a significant impact on the soil microbial communities | soil microbial community plastic | O |
1109 | Application of metabolic engineering approaches to microbial co-cultures | Co-culture 13C-Metabolic flux analysis Escherichia coli | O |
Organizing Committee of SCEJ 55th Autumn Meeting (2024)
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