Last modified: 2024-09-19 02:24:28
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.
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Hall W, Day 3 | |||||
(9:00–10:00) (Chair: | |||||
W301 | Application of metabolic engineering approaches to microbial co-cultures | Co-culture 13C-Metabolic flux analysis Escherichia coli | SY-72 | 1109 | |
W302 | Nanomolar Scale Peptide Identification on Polydiacetylene Sensors by Hyperspectral Imaging and Machine Learning | Polydiacetytlene Hyperspectral imaging Machine learning | SY-72 | 542 | |
W303 | 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 | SY-72 | 558 | |
Break | |||||
(10:20–11:40) (Chair: | |||||
W305 | Machine learning-based cancer diagnosis using size-dependent blood residence time of nanoparticles | machine learning cancer diagnosis blood residence time | SY-72 | 624 | |
W306 | Study on thermostabilization of enzymes through in silico mutagenesis with a constrained search space | enzyme engineering thermostability | SY-72 | 881 | |
W307 | The surface properties of buried plastics have a significant impact on the soil microbial communities | soil microbial community plastic | SY-72 | 979 | |
W308 | [Featured presentation] Predictive Modeling of Cell Viability in Extrusion-Based 3D Bioprinting using Machine Learning | Extrusion-based 3D bioprinting Cell viability Machine learning | SY-72 | 394 |
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SCEJ 55th Autumn Meeting (Sapporo, 2024)