Results 41 to 50 of about 585,342 (345)
Active surveillance of adverse drug reactions in patients with rheumatoid arthritis in a tertiary care teaching hospital [PDF]
Background: Drugs used in the treatment of rheumatoid arthritis show significant toxicity and morbidity. The objective of the study was to evaluate the nature and incidence of adverse drug reaction in patients with rheumatoid arthritis on anti-rheumatic ...
., Vidhya+4 more
core +2 more sources
Deep Learning Prediction of Adverse Drug Reactions Using Open TG-GATEs and FAERS Databases [PDF]
With the advancements in Artificial intelligence (AI) and the accumulation of healthrelated big data, it has become increasingly feasible and commonplace to leverage machine learning technologies to analyze clinical and omics metadata to assess the possibility of adverse drug reactions or events (ADRs) in the course of drug discovery.
arxiv +1 more source
The concept of adverse drug reaction reporting: awareness among pharmacy students in a Nigerian university [PDF]
Adverse drug reaction (ADR) is poorly reported globally but more in developing countries with poor participation by health professionals. Currently, there is no known literature on the Nigerian pharmacy students’ knowledge on ADR reporting.
Fakeye Titilayo Oyelola+1 more
core +2 more sources
Background: Inflammatory bowel diseases (IBDs) are generally not considered a risk factor for the development of lymphoma. When considering IBD treatments, there is good evidence supporting thiopurines (azathioprine, 6-mercaptopurine) as a risk factor ...
Sara Ferraro+6 more
doaj +1 more source
Social context prevents heat hormetic effects against mutagens during fish development
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere+5 more
wiley +1 more source
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Social media is an useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Gupta, Shashank+4 more
core +1 more source
Objective: To study the prescribing pattern of antipsychotic drugs in the outpatient department of psychiatry in Silchar Medical College and Hospital (SMCH) of Assam.
Pinaki Chakravarty+2 more
doaj +1 more source
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi+6 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
Montelukast Prevents Mice Against Acetaminophen-Induced Liver Injury
Acetaminophen (APAP) is a widely used over-the-counter antipyretic and analgesic drug. Overdose of APAP is the leading cause of hospital admission for acute liver failure.
Shiyun Pu+9 more
doaj +1 more source