Results 91 to 100 of about 62,672 (281)
Learning signals of adverse drug-drug interactions from the unstructured text of electronic health records. [PDF]
Drug-drug interactions (DDI) account for 30% of all adverse drug reactions, which are the fourth leading cause of death in the US. Current methods for post marketing surveillance primarily use spontaneous reporting systems for learning DDI signals and ...
Bauer-Mehren, Anna +4 more
core +5 more sources
As use cases for long‐acting therapeutics expand across clinical indications, there is a critical need to ensure the inclusion of women who are pregnant or breastfeeding, infants and children—populations with a historical gap in the availability of interventions already approved for use in adults.
Moherndran Archary +59 more
wiley +1 more source
Pharmacovigilance update [Pharmacovigilance update]
Main pharmacovigilance signals and alerts issued in 2009 are reviewed. Efalizumab was withdrawn from the market due to increased risks, including progressive multifocal leukoencephalopathy (PML) and questionable efficacy. New cases of PML are still being reported with rituximab and natalizumab.
Livio, F. +4 more
openaire +1 more source
Artificial intelligence (AI) is receiving increasing attention across the entire lifecycle of medicines, from early development to postauthorization use. While various AI tools have been developed in commercial and academic settings, the extent of their use in regulatory contexts within the European Union remains unknown.
Lucina‐May Nollen +3 more
wiley +1 more source
Background The benefit-risk balance of vaccines is regularly debated by the public, but the utility of media monitoring for regulatory bodies is unclear.
Priya Bahri +4 more
doaj +1 more source
Abstract Aims Immune checkpoint inhibitors (ICI) are the cornerstone of modern oncology; however, side effects such as ICI‐related myocarditis (irM) can be fatal. Recently, Bonaca proposed criteria for irM; however, it is unknown if they correlate well with cardiovascular (CV) ICI‐related adverse events.
Lorenzo Braghieri +12 more
wiley +1 more source
Adverse Drug Reaction Classification With Deep Neural Networks [PDF]
We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification.
He, Yulan +3 more
core +1 more source
Abstract Objective This study was undertaken to present the results of an exploratory phase 2 trial of stiripentol in Lennox–Gastaut syndrome (LGS). Methods This exploratory single‐blind, single‐arm, nonrandomized sequential‐period phase 2 study was conducted at four centers in France between January 1989 and August 1993.
Stéphane Auvin +3 more
wiley +1 more source
Strengthening Pharmacovigilance System to Capture Safety Data from HIV Clients on ART in Tanzania: Identification of Gaps in Safety Reporting System [PDF]
In Tanzania, pharmacovigilance system is implemented by Tanzania Food and Drugs Authority (TFDA) that monitors drug use countrywide. TFDA is the main national custodian for recording, analyzing and disseminating safety information that is generated ...
Baraka, Vito +9 more
core
Abstract Background Understanding the varied impact of COVID‐19 severity on pregnancy outcomes is crucial for informed clinical management and targeted interventions. Objective To evaluate the impact of COVID‐19 on pregnancy outcomes, distinguishing between pregnant women managed in primary care and those requiring hospitalization.
Odette de Bruin +73 more
wiley +1 more source

