Results 81 to 90 of about 5,634,975 (396)
Text Mining for Drug–Drug Interaction [PDF]
In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature.
Wu, Heng-Yi, Chiang, Chien-Wei, Li, Lang
openaire +3 more sources
Circulating histones as clinical biomarkers in critically ill conditions
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez+17 more
wiley +1 more source
Prevalence and patterns of higher-order drug interactions in Escherichia coli. [PDF]
Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components.
Cruz-Loya, Mauricio+7 more
core +2 more sources
Drug-Drug Interaction Pattern Recognition [PDF]
Drug-drug interaction (DDI) is an important aspect of drug development, especially for safety. When a drug is used concomitantly with other drug(s), one of the major concerns is the change of exposures, including the rate and extent of drug absorption, distribution, metabolism and elimination.
openaire +2 more sources
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
Background: Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs)
Jane Louisa Debus+9 more
doaj +1 more source
Dolutegravir drug-drug interactions
Dolutegravir is neither an inducer nor an inhibitor of metabolising enzymes, and it therefore has a low propensity to act as a perpetrator of drug-drug interactions. Clinically significant decreases in dolutegravir exposure occur when it is co-administered with strong inducers (e.g.
Mondleki, E, Maartens, G
openaire +3 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Drug-drug interactions in repeat prescriptions at village dispensaries (bereg) in Malta [PDF]
Inappropriate treatments and drug-drug interactions (DDIs) are known to occur in settings where repeat prescriptions are issued. In view of this, a study was carried out to document any such problematic drug prescribing and propose changes that would
Bugeja, Anton
core