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DDI prediction
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To compare different strategies predicting hyperkalemia (serum potassium level 5.5 mEq/l) in hospitalized patients for whom medications triggering potassium-increasing drug-drug interactions (DDIs) were ordered.
7p
visteverogers
24-06-2023
5
2
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Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance.
12p
vioklahoma2711
19-11-2020
4
0
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Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new DDIs.
10p
vicoachella2711
27-10-2020
8
1
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The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity. DDI detection in the wet lab is expensive and time-consuming.
15p
vicolorado2711
22-10-2020
10
0
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The physiologically based pharmacokinetic (PBPK) model for liver transporter substrates has been established previously and used for predicting drug–drug interactions (DDI) and for clinical practice guidance. So far, nearly all the published PBPK models for liver transporter substrates have one or more hepatic clearance processes (i.e., active uptake, passive diffusion, metabolism, and biliary excretion) estimated by fitting observed systemic data.
11p
caothientrangnguyen
09-05-2020
18
0
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The expanded use of multiple drugs has increased the occurrence of adverse drug reactions (ADRs) induced by drug-drug interactions (DDIs). However, such reactions are typically not observed in clinical drugdevelopment studies because most of them focus on single-drug therapies.
18p
vimax2711
30-03-2020
10
2
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