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PubPharm (12)
1
Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model
enthalten in:
Therapeutic innovation & regulatory science
| 2024
von
Watanabe, T.
|
Ambe, K.
|
Tohkin, M.
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2
Streamlining Considerations for Safety Measures : A Predictive Model for Addition of Clinically Significant Adverse Reactions to Japanese Drug Package Inserts
enthalten in:
Biological & pharmaceutical bulletin
| 2024
von
Watanabe, T.
|
Ambe, K.
|
Tohkin, M.
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3
Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model
enthalten in:
Therapeutic innovation & regulatory science
| 2023
von
Watanabe, T.
|
Ambe, K.
|
Tohkin, M.
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4
Epidemiology and predictors of hyponatremia in a contemporary cohort of patients with malignancy : a retrospective cohort study
enthalten in:
Clinical kidney journal
| 2023
von
Murashima, M.
|
Ambe, K.
|
Aoki, Y.
| +6
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5
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 Analysis
enthalten in:
Clinical pharmacology and therapeutics
| 2023
von
Ambe, K.
|
Akita, A.
|
Wei, J.
| +3
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6
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 Analysis
enthalten in:
Clinical Pharmacology & Therapeutics
| 2023
von
Ambe, K.
|
Akita, A.
|
Wei, J.
| +3
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7
Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoost
enthalten in:
Regulatory toxicology and pharmacology : RTP
| 2021
von
Ambe, K.
|
Suzuki, M.
|
Ashikaga, T.
| +1
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8
In Silico Approach to Predict Severe Cutaneous Adverse Reactions Using the Japanese Adverse Drug Event Report Database
enthalten in:
Clinical and translational science
| 2021
von
Ambe, K.
|
Ohya, K.
|
Takada, W.
| +2
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9
In Silico Approach to Predict Severe Cutaneous Adverse Reactions Using the Japanese Adverse Drug Event Report Database
enthalten in:
Clinical and Translational Science
| 2021
von
Ambe, K.
|
Ohya, K.
|
Takada, W.
| +2
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10
Comparison of Efficacy of Dipeptidyl Peptidase-4 Inhibitors and Sodium-Glucose Co-Transporter 2 Inhibitors Between Japanese and Non-Japanese Patients : A Meta-Analysis
enthalten in:
Clinical and translational science
| 2020
von
Ito, Y.
|
Ambe, K.
|
Hayase, T.
| +2
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9
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Research Support, Non-U.S. Gov't
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Machine learning
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Adverse drug reaction
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Drug package insert
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1
Adverse outcome pathway
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1
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1
Developmental and reproductive toxicity
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Dipeptidyl-Peptidase IV Inhibitors
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