Results 111 to 120 of about 48,983 (212)

Can large language models detect drug-drug interactions leading to adverse drug reactions? [PDF]

open access: yesTher Adv Drug Saf
Sicard J   +9 more
europepmc   +1 more source

Medication errors in malaria management in children: insights from pharmacovigilance data in the Democratic Republic of Congo. [PDF]

open access: yesBMC Pharmacol Toxicol
Amba MN   +9 more
europepmc   +1 more source

ON THE SUBJECT OF PHARMACOVIGILANCE

open access: yesРациональная фармакотерапия в кардиологии, 2015
On the subject of pharmacovigilance.
openaire   +3 more sources

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
Graphical abstract of the survey with a taxonomical approach to causal learning with graph neural networks. ABSTRACT In machine learning, exploring data correlations to predict outcomes is a fundamental task. Recognizing causal relationships embedded within data is pivotal for a comprehensive understanding of system dynamics, the significance of which ...
Simi Job   +6 more
wiley   +1 more source

Social media as a source of drug safety information in the paediatric population

open access: yesBritish Journal of Clinical Pharmacology, Volume 91, Issue 6, Page 1760-1770, June 2025.
Aims The paediatric population is vulnerable to suffering adverse drug events (ADEs) such as negative outcomes due to medication (NOMs)–drug related problems (DRPs), especially adverse drug reactions (ADRs) and medication errors (MEs). Social media (SM) is considered an interesting tool for pharmacovigilance.
Ingrid Vilimelis‐Piulats   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy