Latest AI and machine learning research in product alert for healthcare professionals.
Currently available risk prediction methods are limited in their ability to deal with complex, heter...
Machine learning, especially deep learning, has the predictive power to predict adverse drug reactio...
BACKGROUND: Adverse drug reactions (ADRs) are common and are the underlying cause of over a million ...
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quant...
Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...
Nutrition, and particularly dietary energy intake, plays a fundamental role in reproductive function...
Automation of pharmaceutical safety case processing represents a significant opportunity to affect t...
We propose a patient-specific ("personalized") approach for tailoring the injected activities to ind...
Perceptual decision-making is the subject of many experimental and theoretical studies. Most modelin...
Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...
The present study seeks to present a single-blind, randomized control trial of a hypothermic anti-in...
Online smoking cessation communities help hundreds of thousands of smokers quit smoking and stay abs...
The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. T...
There is a need for better tools to objectively, reliably, and precisely assess neurological functio...
The risk stratification of prostate cancer and breast cancer tumours from patients relies on histopa...
Since 2012, New Zealand has suffered from an epidemic of infectious bovine anaemia associated with T...
The accurate segmentation of the brain surface in post-surgical computed tomography (CT) images is c...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...
Text normalization into medical dictionaries is useful to support clinical tasks. A typical setting ...
BACKGROUND: Despite widespread use, the safety of dietary supplements is open to doubt due to the fa...
BACKGROUND: Extracting relationships between chemicals and diseases from unstructured literature hav...