[HTML][HTML] Digital health strategies to fight COVID-19 worldwide: challenges, recommendations, and a call for papers
G Fagherazzi, C Goetzinger, MA Rashid… - Journal of Medical …, 2020 - jmir.org
The coronavirus disease (COVID-19) pandemic has created an urgent need for coordinated
mechanisms to respond to the outbreak across health sectors, and digital health solutions …
mechanisms to respond to the outbreak across health sectors, and digital health solutions …
Artificial intelligence for drug toxicity and safety
Interventional pharmacology is one of medicine's most potent weapons against disease.
These drugs, however, can result in damaging side effects and must be closely monitored …
These drugs, however, can result in damaging side effects and must be closely monitored …
Machine learning-integrated omics for the risk and safety assessment of nanomaterials
With the advancement in nanotechnology, we are experiencing transformation in world
order with deep insemination of nanoproducts from basic necessities to advanced …
order with deep insemination of nanoproducts from basic necessities to advanced …
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
Objective Research on pharmacovigilance from social media data has focused on mining
adverse drug events (ADEs) using annotated datasets, with publications generally focusing …
adverse drug events (ADEs) using annotated datasets, with publications generally focusing …
Knowledge-based approaches to drug discovery for rare diseases
The conventional drug discovery pipeline has proven to be unsustainable for rare diseases.
Herein, we discuss recent advances in biomedical knowledge mining applied to discovering …
Herein, we discuss recent advances in biomedical knowledge mining applied to discovering …
[HTML][HTML] GLP-1 receptor agonists and related mental health issues; insights from a range of social media platforms using a mixed-methods approach
The emergence of glucagon-like peptide-1 receptor agonists (GLP-1 RAs; semaglutide and
others) now promises effective, non-invasive treatment of obesity for individuals with and …
others) now promises effective, non-invasive treatment of obesity for individuals with and …
[HTML][HTML] Ethical and methodological considerations of Twitter data for public health research: systematic review
C Takats, A Kwan, R Wormer, D Goldman… - Journal of Medical …, 2022 - jmir.org
Background Much research is being carried out using publicly available Twitter data in the
field of public health, but the types of research questions that these data are being used to …
field of public health, but the types of research questions that these data are being used to …
[HTML][HTML] Using GPT-3 to build a lexicon of drugs of abuse synonyms for social media pharmacovigilance
KA Carpenter, RB Altman - Biomolecules, 2023 - mdpi.com
Drug abuse is a serious problem in the United States, with over 90,000 drug overdose
deaths nationally in 2020. A key step in combating drug abuse is detecting, monitoring, and …
deaths nationally in 2020. A key step in combating drug abuse is detecting, monitoring, and …
Applications of artificial intelligence in drug development using real-world data
Highlights•Artificial intelligence (AI) and real-world data (RWD) are increasing used in drug
development.•Adverse event detection, trial recruitment, and drug repurposing are the most …
development.•Adverse event detection, trial recruitment, and drug repurposing are the most …
[HTML][HTML] The use of social media in detecting drug safety–related new black box warnings, labeling changes, or withdrawals: scoping review
JY Lee, YS Lee, DH Kim, HS Lee… - JMIR public health …, 2021 - publichealth.jmir.org
Background Social media has become a new source for obtaining real-world data on
adverse drug reactions. Many studies have investigated the use of social media to detect …
adverse drug reactions. Many studies have investigated the use of social media to detect …