Latest AI and machine learning research in product alert for healthcare professionals.
There are significant challenges and opportunities in deploying and utilizing advanced information t...
The objective of this study was to determine the effects of an immunomodulatory feed ingredient duri...
In this study we propose the use of text mining and machine learning methods to predict and detect S...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...
This study presents a novel research approach to predict user interaction for social media post usin...
Social media has been identified as a promising potential source of information for pharmacovigilanc...
Drug-associated adverse events cause approximately 30 billion dollars a year of added health care ex...
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner f...
This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation ...
We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that i...
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat se...
Ricin is a highly toxic type 2 ribosome-inactivating protein (RIP) which is extracted from the seeds...
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types...
Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, h...
This study determined whether feeding the immunomodulating supplement, OmniGen-AF, to feedlot heifer...
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coron...
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-...
BACKGROUND: Hospital discharge summaries offer a potentially rich resource to enhance pharmacovigila...
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilan...
Stroke is the main cause of disability after age 65, leaving survivors with sequels that require car...
BACKGROUND AND OBJECTIVE: Automatic extraction of adverse drug effect (ADE) mentions from biomedical...