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Kaori Ambe

Showing results (1-10 of 14) with videos related to

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Biological & Pharmaceutical Bulletin|February 1, 2026
Development of a Data-Driven Prediction Model of Adverse Drug Reactions Using Large-Scale Medical Information and Machine LearningKaori Ambe
Biological & Pharmaceutical Bulletin|March 13, 2024
Streamlining Considerations for Safety Measures: A Predictive Model for Addition of Clinically Significant Adverse Reactions to Japanese Drug Package InsertsTakashi Watanabe, Kaori Ambe, Masahiro Tohkin
Therapeutic Innovation & Regulatory Science|December 22, 2023
Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning ModelTakashi Watanabe, Kaori Ambe, Masahiro Tohkin
Regulatory Toxicology and Pharmacology : RTP|July 26, 2021
Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoostKaori Ambe, Masaharu Suzuki, Takao Ashikaga, et al.
Clinical and Translational Science|December 28, 2019
Comparison of Efficacy of Dipeptidyl Peptidase-4 Inhibitors and Sodium-Glucose Co-Transporter 2 Inhibitors Between Japanese and Non-Japanese Patients: A Meta-AnalysisYuka Ito, Kaori Ambe, Toshiki Hayase, et al.
Clinical and Translational Science|January 8, 2021
In Silico Approach to Predict Severe Cutaneous Adverse Reactions Using the Japanese Adverse Drug Event Report DatabaseKaori Ambe, Kazuyuki Ohya, Waki Takada, et al.
The Journal of Toxicological Sciences|April 5, 2019
Comparison of the developmental/reproductive toxicity and hepatotoxicity of phthalate esters in rats using an open toxicity data sourceKaori Ambe, Yuko Sakakibara, Aya Sakabe, et al.
Clinical Pharmacology and Therapeutics|March 2, 2023
Comparison of Efficacy and Safety of Direct Oral Anticoagulants and Warfarin between Patients in Asian and Non-Asian Regions: A Systematic Review and Meta-Regression AnalysisKaori Ambe, Ayu Akita, Jie Wei, et al.
Clinical and Translational Science|March 4, 2025
Comparison of the Efficacy and Safety of Disease-Modifying Antirheumatic Drugs Combination Therapies: A Systematic Review and Network Meta-AnalysisLinfeng Liu, Kaori Ambe, Mayu Onishi, et al.
Chemical Research in Toxicology|October 20, 2024
Machine Learning-Based <i>In Silico</i> Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450sKaori Ambe, Mizuki Nakamori, Riku Tohno, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Biological & Pharmaceutical Bulletin|February 1, 2026
Development of a Data-Driven Prediction Model of Adverse Drug Reactions Using Large-Scale Medical Information and Machine LearningKaori Ambe
Biological & Pharmaceutical Bulletin|March 13, 2024
Streamlining Considerations for Safety Measures: A Predictive Model for Addition of Clinically Significant Adverse Reactions to Japanese Drug Package InsertsTakashi Watanabe, Kaori Ambe, Masahiro Tohkin
Therapeutic Innovation & Regulatory Science|December 22, 2023
Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning ModelTakashi Watanabe, Kaori Ambe, Masahiro Tohkin
Regulatory Toxicology and Pharmacology : RTP|July 26, 2021
Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoostKaori Ambe, Masaharu Suzuki, Takao Ashikaga, et al.
Clinical and Translational Science|December 28, 2019
Comparison of Efficacy of Dipeptidyl Peptidase-4 Inhibitors and Sodium-Glucose Co-Transporter 2 Inhibitors Between Japanese and Non-Japanese Patients: A Meta-AnalysisYuka Ito, Kaori Ambe, Toshiki Hayase, et al.
Clinical and Translational Science|January 8, 2021
In Silico Approach to Predict Severe Cutaneous Adverse Reactions Using the Japanese Adverse Drug Event Report DatabaseKaori Ambe, Kazuyuki Ohya, Waki Takada, et al.
The Journal of Toxicological Sciences|April 5, 2019
Comparison of the developmental/reproductive toxicity and hepatotoxicity of phthalate esters in rats using an open toxicity data sourceKaori Ambe, Yuko Sakakibara, Aya Sakabe, et al.
Clinical Pharmacology and Therapeutics|March 2, 2023
Comparison of Efficacy and Safety of Direct Oral Anticoagulants and Warfarin between Patients in Asian and Non-Asian Regions: A Systematic Review and Meta-Regression AnalysisKaori Ambe, Ayu Akita, Jie Wei, et al.
Clinical and Translational Science|March 4, 2025
Comparison of the Efficacy and Safety of Disease-Modifying Antirheumatic Drugs Combination Therapies: A Systematic Review and Network Meta-AnalysisLinfeng Liu, Kaori Ambe, Mayu Onishi, et al.
Chemical Research in Toxicology|October 20, 2024
Machine Learning-Based <i>In Silico</i> Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450sKaori Ambe, Mizuki Nakamori, Riku Tohno, et al.
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