Cardiac simulation is used to integrate information on drug action to predict side effects on the whole heart. Could simulation begin to replace animal models
[EN] The use of antiarrhythmic drugs is common to treat heart rhythm disorders. Computational modeli...
Emerging practice in drug safety assessment delivers relatively early data on the potency of compoun...
Unintended drug interactions with ion channels in cardiac cells can alter normal electrical activity...
Cardiac simulation is used to integrate information on drug action to predict side effects on the wh...
The development of new medicines faces important challenges due to difficulties in the assessment of...
Prediction of drug effects on the heart still represents a challenge in drug development, given pote...
The use of anti-arrhythmic drugs is common to treat heart rhythm disorders. Computational modeling a...
Concerns over cardiac side effects are the largest single cause of compound attrition during pharmac...
This three-hour workshop will demonstrate how researchers are putting digital tools to use in their ...
Early prediction of cardiotoxicity is critical for drug development. Current animal models raise eth...
Iteration between computational and experimental physiology has largely contributed to expanding sci...
Concerns over cardiac side effects are the largest single cause of compound attrition during pharmac...
Within the drug development process, the detection of the drugs that are not proarrhythmic is partic...
AbstractIntroductionTo evaluate the usefulness of in silico assay in predicting drug-induced QTc pro...
International audienceMolecular modeling in pharmacology is a promising emerging tool for exploring ...
[EN] The use of antiarrhythmic drugs is common to treat heart rhythm disorders. Computational modeli...
Emerging practice in drug safety assessment delivers relatively early data on the potency of compoun...
Unintended drug interactions with ion channels in cardiac cells can alter normal electrical activity...
Cardiac simulation is used to integrate information on drug action to predict side effects on the wh...
The development of new medicines faces important challenges due to difficulties in the assessment of...
Prediction of drug effects on the heart still represents a challenge in drug development, given pote...
The use of anti-arrhythmic drugs is common to treat heart rhythm disorders. Computational modeling a...
Concerns over cardiac side effects are the largest single cause of compound attrition during pharmac...
This three-hour workshop will demonstrate how researchers are putting digital tools to use in their ...
Early prediction of cardiotoxicity is critical for drug development. Current animal models raise eth...
Iteration between computational and experimental physiology has largely contributed to expanding sci...
Concerns over cardiac side effects are the largest single cause of compound attrition during pharmac...
Within the drug development process, the detection of the drugs that are not proarrhythmic is partic...
AbstractIntroductionTo evaluate the usefulness of in silico assay in predicting drug-induced QTc pro...
International audienceMolecular modeling in pharmacology is a promising emerging tool for exploring ...
[EN] The use of antiarrhythmic drugs is common to treat heart rhythm disorders. Computational modeli...
Emerging practice in drug safety assessment delivers relatively early data on the potency of compoun...
Unintended drug interactions with ion channels in cardiac cells can alter normal electrical activity...
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