AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action.

Molecular pharmaceutics Apr 13, 2020
To improve the drug discovery yield, a method which is implemented at the beginning of drug discovery that accurately predicts drug side effects, indications, efficacy, and mode of action based solely on the input of the drug's chemical structure is ...
Benchmarking Drug-Related Side Effects and Adverse Reactions Retrospective Studies Drug Discovery Cell Line, Tumor Humans Machine Learning
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Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

Journal of pharmacokinetics and pharmacodynamics Apr 11, 2020
The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI in women's health, discover gaps, and discuss the future of AI in maternal health. A systematic review of English articles using EMBASE, PubMed, and S...
Pregnancy Female Animals Humans Machine Learning Physicians Decision Making, Shared Perinatal Care Maternal-Fetal Exchange Preconception Care Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Pregnancy Complications Prenatal Care Disease Models, Animal Maternal Health
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Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity.

Molecular informatics Mar 23, 2020
Over the last few years more and more organ and idiosyncratic toxicities were linked to mitochondrial toxicity. Despite well-established assays, such as the seahorse and Glucose/Galactose assay, an in silico approach to mitochondrial toxicity is stil...
Drug-Related Side Effects and Adverse Reactions Databases, Chemical Quantitative Structure-Activity Relationship Computer Simulation Drug Discovery Mitochondria Machine Learning Algorithms
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Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

International journal of molecular sciences Mar 19, 2020
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of a substance remains a task worth pursuing. Such an approach is c...
Models, Theoretical Drug-Related Side Effects and Adverse Reactions Quantitative Structure-Activity Relationship Databases, Factual Chemical and Drug Induced Liver Injury Computer Simulation Humans Prognosis Machine Learning Algorithms
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Leveraging Contextual Information in Extracting Long Distance Relations from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Relation extraction from biomedical text is important for clinical decision support applications. In post-marketing pharmacovigilance, for example, Adverse Drug Events (ADE) relate medical problems to the drugs that caused them and were the focus of ...
Information Storage and Retrieval Drug-Related Side Effects and Adverse Reactions Humans Medical Records Pharmacovigilance Deep Learning Product Surveillance, Postmarketing Datasets as Topic Natural Language Processing
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Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared to other pharmacovigilance work, a limited amount of research has been conducted in this space. Recent work has successfully applied a method of derivi...
Drug-Related Side Effects and Adverse Reactions Humans Pharmacovigilance Neural Networks, Computer Polypharmacy Computational Biology Semantics Algorithms Models, Biological Data Visualization Drug Interactions
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Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Using electronic health data to predict adverse drug reaction (ADR) incurs practical challenges, such as lack of adequate data from any single site for rare ADR detection, resource constraints on integrating data from multiple sources, and privacy co...
Adverse Drug Reaction Reporting Systems Logistic Models Support Vector Machine Drug-Related Side Effects and Adverse Reactions Machine Learning Databases, Factual Electronic Health Records Humans
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Broad-Spectrum Profiling of Drug Safety via Learning Complex Network.

Clinical pharmacology and therapeutics Feb 28, 2020
Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this s...
Humans Drug Evaluation, Preclinical Machine Learning Drug-Related Side Effects and Adverse Reactions Animals Drug Discovery Adverse Drug Reaction Reporting Systems
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Prediction of Side Effects Using Comprehensive Similarity Measures.

BioMed research international Feb 27, 2020
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods mainly focus on the chemical and biological properties of drugs. This study proposes a method th...
Polymorphism, Single Nucleotide Drug Repositioning Area Under Curve Drug Interactions Drug-Related Side Effects and Adverse Reactions Sitagliptin Phosphate Humans Vorinostat Machine Learning Clonidine Dasatinib
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Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem.

Molecules (Basel, Switzerland) Jan 23, 2020
Drug-induced liver injury is a major concern in the drug development process. Expensive and time-consuming and studies do not reflect the complexity of the phenomenon. Complementary to wet lab methods are approaches, which present a cost-efficient...
Liver Neural Networks, Computer Quantitative Structure-Activity Relationship Algorithms Drug-Related Side Effects and Adverse Reactions Chemical and Drug Induced Liver Injury Computer Simulation Databases, Chemical Databases, Pharmaceutical
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