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Predicting drug-induced arrhythmias by multiscale modeling.
Author: KuhlEllen, Sahli CostabalFrancisco, YaoJiang
Original Abstract of the Article :
Drugs often have undesired side effects. In the heart, they can induce lethal arrhythmias such as torsades de pointes. The risk evaluation of a new compound is costly and can take a long time, which often hinders the development of new drugs. Here, we establish a high-resolution, multiscale computat...See full text at original site
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引用元:
https://doi.org/10.1002/cnm.2964
データ提供:米国国立医学図書館(NLM)
Predicting Drug-Induced Arrhythmias: A Multiscale Modeling Approach
Navigating the vast landscape of drug development requires a keen eye for potential pitfalls. This research delves into the complex world of [drug-induced arrhythmias], utilizing a [multiscale computational model] to predict the cardiac toxicity of drugs. The authors leverage the power of [computational modeling] to analyze the effects of drugs on the [cardiac system] at various levels, from [single cell electrophysiology] to [spatio-temporal activation profiles] and [electrocardiograms]. This research provides a valuable tool for assessing drug safety and potentially preventing fatal side effects.
A Multiscale Model Offers a New Perspective on Drug Safety
This research represents a significant advance in our understanding of [drug-induced arrhythmias]. The authors demonstrate the ability of their [multiscale model] to accurately predict the [cardiac toxicity] of drugs. It's like having a map that reveals the hidden dangers of a desert journey, helping us to avoid treacherous paths and ensure a safe passage. This model could potentially revolutionize drug development, leading to safer and more effective medications.
Understanding Drug Safety: A Guide to Protecting Your Health
The authors' findings emphasize the importance of [rigorous drug testing] to ensure patient safety. While [drug-induced arrhythmias] are a rare occurrence, it's essential to be aware of the potential risks associated with medications. If you experience any [unusual symptoms] while taking a medication, it's important to [consult a healthcare professional] immediately. This research underscores the need for [continued innovation] in drug safety testing to protect patients from potential harm.
Dr.Camel's Conclusion
This research is a testament to the power of [computational modeling] in advancing our understanding of complex biological systems. The development of a [multiscale model] for predicting [drug-induced arrhythmias] represents a significant step forward in ensuring drug safety and patient well-being. It's like a compass that guides us through the complex desert landscape of drug development, helping us to navigate safely and effectively.
Date :
- Date Completed 2019-06-17
- Date Revised 2019-06-17
Further Info :
Related Literature
English
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