Drug-gene interaction and druggable genes associated with each GO process in each ML cluster.
Drug-gene interaction and druggable genes associated with each GO process in each ML cluster.
Sudhanshu Shukla (408600) +2 more
core +1 more source
Digoxin + Cyclosporine - contextualized potential drug-drug interaction clinical algorithm
An algorithm developed for research purposes that summarizes the potential drug-drug interaction between digoxin and cyclosporine. The information is not advice, and should not be treated as such.
Contributors to the A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation Specification
core +1 more source
Towards personalized management of drug interactions: from drug-drug-interaction to drug-drug-gene-interaction [PDF]
Drug-drug interactions (DDIs) are still an important contributor to ineffective treatment or deleterious side effects. Therefore, assessing the prevalence and clinical relevance of frequently observed potential DDIs is an important step towards improving medication safety.
openaire +2 more sources
Multimorbidity, polypharmacy, and drug-drug-gene interactions following a non-ST elevation acute coronary syndrome: analysis of a multicentre observational study [PDF]
Abstract Background The number of patients living with co-existing diseases is growing. This study aimed to assess the extent of multimorbidity, medication use, and drug- and gene-based interactions in patients following a non-ST elevation acute coronary syndrome (NSTE-ACS). Methods
Turner, RM +4 more
openaire +2 more sources
Potential drug interactions : exposure and management in hospital and ambulatory settings [PDF]
Health care professionals are responsible to ensure safe dispensing and use of drug regimens involving the use of drug combinations that may interact and cause serious adverse events.
Indermitte, Jörg Lorenz
core +1 more source
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare [PDF]
The detection and classification of drug–drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for ...
Hafiz Suliman Munawar +11 more
core +1 more source
Molecular mechanisms of drug resistance in natural Leishmania populations vary with genetic background [PDF]
The evolution of drug-resistance in pathogens is a major global health threat. Elucidating the molecular basis of pathogen drug-resistance has been the focus of many studies but rarely is it known whether a drug-resistance mechanism identified is ...
Sylke Müller +39 more
core +1 more source
During early pregnancy, extravillous trophoblasts (EVTs) play a crucial role in modifying the maternal uterine environment. Failures in EVT lineage formation and differentiation can lead to pregnancy complications such as preeclampsia, fetal growth ...
Lackner Andreas Ian +4 more
doaj +1 more source
The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Here we present two methodology innovations on network pharmacology modeling.
Jianghui Xiong
core +1 more source
Understanding gene-gene interaction and its causal relationship to protein-protein interaction is a viable route for understanding drug action at the genetic level, which is largely hindered by inability to robustly map gene regulatory networks. Here, we
Adel Aloraini, Karim M ElSawy
doaj +1 more source

