Authors and Chairs (J) field exact matches “稲田 飛鳥”; 11 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Day 1 | PB101 | Development of Metal-Organic Frameworks that Collapse under Reductive Conditions and Application to Anticancer Drug Delivery Systems | Metal organic framework drug delivery system reduction responsive | SY-67 | 766 |
Day 1 | PB102 | Development of novel tetrapeptide deliveries as solubilizers for paclitaxel | Tetrapeptide Paclitaxel Dispersibility | SY-67 | 267 |
Day 1 | PB103 | Development of Metal-Organic Framework with peptides as ligands. | peptide MOF ligand | SY-67 | 749 |
Day 1 | PB104 | Development of amphiphilic peptides that possesses targeting property and metal complexation property. | DDS Paclitaxel amphiphilic peptides | SY-67 | 260 |
Day 1 | PB101 | Development of Metal-Organic Frameworks that Collapse under Reductive Conditions and Application to Anticancer Drug Delivery Systems | Metal organic framework drug delivery system reduction responsive | SY-67 | 766 |
Day 1 | PB103 | Development of Metal-Organic Framework with peptides as ligands. | peptide MOF ligand | SY-67 | 749 |
Day 1 | PB102 | Development of novel tetrapeptide deliveries as solubilizers for paclitaxel | Tetrapeptide Paclitaxel Dispersibility | SY-67 | 267 |
Day 1 | PB104 | Development of amphiphilic peptides that possesses targeting property and metal complexation property. | DDS Paclitaxel amphiphilic peptides | SY-67 | 260 |
Day 2 | DH218 | A comparative study of formulations to improve oral bioavailability of β-cryptoxanthin | cryptoxanthin Solubility Bioavailability | SY-71 | 536 |
Day 3 | PB313 | Examination of machine learning to find ion solvation extractants for Ga(Ⅲ) | solvent extraction machine learning Gallium | SY-57 | 421 |
Day 3 | PB308 | A research for descriptors that contribute to the prediction accuracy of ion solvation extractability to Au(III) by machine learning. | machine learning solvent extraction gold | SY-57 | 259 |
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SCEJ 53rd Autumn Meeting (Nagano, 2022)