Kaori Ambe 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（14 件）

• [2026] ExSERA: The explainable machine learning model for skin sensitization risk assessment
  DOI: https://doi.org/10.1016/j.yrtph.2026.106100
• [2026] Development of a Data-Driven Prediction Model of Adverse Drug Reactions Using Large-Scale Medical Information and Machine Learning
  DOI: https://doi.org/10.1248/bpb.b25-00641
• [2026] Additional file 1 of CYP1B1- and CYP1A1-Template systems and their application to metabolism and inhibition
  DOI: https://doi.org/10.6084/m9.figshare.31033743
• [2026] Additional file 1 of CYP1B1- and CYP1A1-Template systems and their application to metabolism and inhibition
  DOI: https://doi.org/10.6084/m9.figshare.31033743.v1
• [2026] Additional file 2 of CYP1B1- and CYP1A1-Template systems and their application to metabolism and inhibition
  DOI: https://doi.org/10.6084/m9.figshare.31033746
• [2026] Additional file 2 of CYP1B1- and CYP1A1-Template systems and their application to metabolism and inhibition
  DOI: https://doi.org/10.6084/m9.figshare.31033746.v1
• [2025] CYP1B1- and CYP1A1-Template systems and their application to metabolism and inhibition
  DOI: https://doi.org/10.1186/s41021-025-00351-x
• [2025] Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information
  DOI: https://doi.org/10.1111/cts.70115
• [2024] Machine Learning-Based <i>In Silico</i> Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450s
  DOI: https://doi.org/10.1021/acs.chemrestox.4c00168
• [2024] Streamlining Considerations for Safety Measures: A Predictive Model for Addition of Clinically Significant Adverse Reactions to Japanese Drug Package Inserts
  DOI: https://doi.org/10.1248/bpb.b23-00846

科研費（0 件）

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所属学会・役職（0 件）

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