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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : 戸谷 吉博 : 8 programs

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Authors and Chairs (J) field exact matches “戸谷 吉博”; 8 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
10:3011:30
PB177Metabolic engineering for efficient tyrosine biosynthesis in co-culture
(Osaka U.) *(Stu)Tada Kazuki, (Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi
co-culture
SY-67455
Day 1
15:0016:20
PB177Metabolic engineering for efficient tyrosine biosynthesis in co-culture
(Osaka U.) *(Stu)Tada Kazuki, (Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi
co-culture
SY-67455
Day 2
9:0011:00
   Chair: Toya Yoshihiro
DA201Markedly enhanced identification of anti-coronavirus peptides by machine learning
(Kyutech) *(Reg)Kurata H., Tsukiyama S.
Computer
deep learning
anti-coronavirus
SY-7032
DA202A Numerical Investigation of Stresses, Printing Efficiency, Printability, and Cell Viability in Nozzle Printheads for 3D Extrusion Bioprinting
(Osaka U.) *(Stu)Zhang Colin, (Stu)Hidaka Mitsuyuki, (Reg)Kojima Masaru, (Reg)Sakai Shinji, (Reg)Okano Yasunori
3D extrusion bioprinting
controlling stresses
numerical simulation
SY-7057
DA203Development of in silico liver fibrosis model
(U. Tokyo) *(Reg)Nishikawa Masaki, Yoshizawa Misa, (Reg)Sakai Yasuyuki, (Tokyo Med. U.) Sugimoto Masahiro
Liver
Disease
Homeostasis
SY-70682
DA204Characterization of Hansen Solubility Parameters of human keratin plugs and Application to cosmetics
(KOSE) *(Reg)Yoshikawa Kentaro, Obikane Shun, Nakamura Rie
Hansen Solubility Parameter
Keratin plug
Computational science
SY-70443
DA205Development of single nozzle in multi-material 3D bioprinting for the construction of advanced cell
(Osaka U.) *(Stu)Hidaka Mitsuyuki, (Stu)Zhang Colin, (Reg)Kojima Masaru, (Reg)Nakahata Masaki, (Reg)Horiguchi Ikki, (Reg)Okano Yasunori, (Reg)Sakai Shinji
3D extrusion printing
multi-material printing
numerical simulation
SY-70514
DA206Development of a companion diagnostic model for the lymphoma therapy based on miRNAs as a biomarker panel
(U. Tokyo) *(Reg)Nakamura Noriko, Hamada Risa, (Meiji U.) (Reg)Kaneko Hiromasa, (U. Tokyo/JST-PRESTO) (Reg)Ohta Seiichi
Companion diagnosis
miRNA
Biomarker panel
SY-70191
Day 2
11:0011:20
DA207Precise control of central carbon metabolic fluxes based on modification of ribosome-binding sequences of Escherichia coli chromosome
(Osaka U.) Sawada Shogo, Matsuda Fumio, (Reg)Toya Yoshihiro, *(Reg)Shimizu Hiroshi
Metabolic Flux
Ribosome-binding sequences
flux control
SY-7076
Day 2
11:2011:40
DA208Improving thermostability of enzyme with sequence conservation information and structure modeling
(Osaka U.) *(Reg)Niide Teppei, (Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi
enzyme
thermostability
structure modeling
SY-70791
Day 2
11:4012:00
DA209Enhanced useful metabolite production using adaptive laboratory evolution with synthetically designed mutualism
(Osaka U.) Kawai Ryutaro, *(Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi
Metabolic engineering
Co-culture
Escherichia coli
SY-7059
Day 3
10:2012:00
   Chair: Toya Yoshihiro
DC305Data-driven analysis of charge variants in monoclonal antibody production
(U. Tokyo) *(Stu)Yoshiyama Yuki, (Int)Badr Sara, (Stu)Okamura Kozue, (Manufacturing Tech. Association of Biologics) Murakami Sei, (U. Tokyo) (Reg)Sugiyama Hirokazu
Charge variant
Monoclonal antibody
PLS
ST-21641
DC306Multi-step approach for data-driven equipment condition assessment in biopharmaceutical drug product manufacturing
(U. Tokyo) *(Int)Zuercher Philipp Samuel, (Int)Badr Sara, (ROCHE) Knueppel Stephanie, (U. Tokyo) (Reg)Sugiyama Hirokazu
Predictive maintenance
Unsupervised learning
Industrial application
ST-21590
DC307Reinforcement learning to optimally control the bio and chemical processes
(Kyoto U.) (Int)Oh Tae Hoon
Reinforcement Learning
Process control
Optimal control
ST-2160
DC308Soft sensor study in film manufacturing process
(Meiji U.) *(Stu)Nakayama Yuki, Shiraki Yuya, (Zeon) (Cor)Natori Satoshi, (Cor)Ono Yuki, (Cor)Suda Kazuya, (Meiji U.) (Reg)Kaneko Hiromasa
Soft sensor
Fault detection
Film manufacturing process
ST-21366
DC309Prediction of phase equilibrium of water-organic compounds system at high-temperature and high-pressure using machine learning
(Shinshu U.) *(Stu)Tamura Kotaro, (Reg)Shimada Iori, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Osada Mitsumasa
machine learning
prediction of phase equilibrium
high-temperature and high-pressure
ST-21532
Day 3
15:0015:20
DH319Utilization of a reverse glyoxylate shunt for less CO2 emitting bio-productions in Escherichia coli
(Osaka U.) *(Stu)Tanaka Kosaku, (Reg)Shimizu Hiroshi, (Reg)Toya Yoshihiro
metabolic pathways
acetyl-CoA
ST-30425

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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