Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

Objectives To evaluate the effectiveness of safeguards to prevent large language models
(LLMs) from being misused to generate health disinformation, and to evaluate the …

During the pandemic, disparities and biases in our society were thrown into high relief.
Political extremism and conspiratorial thinking grew due to fatigue over COVID-19 safety …

Four years after the first case of COVID-19, the world is still determining how best to prevent
and control the long-term effects of SARS-CoV-2 infection. Non-pharmaceutical …

Background: Mis-and disinformation on social media have become widespread, which can
lead to a lack of trust in health information sources and, in turn, lead to negative health …

Compounded bioidentical hormone therapy (cBHT) for menopausal symptoms maintains
popularity in western countries despite the availability of hormone products in different …

Objectives To evaluate the effectiveness of safeguards to prevent large language models
(LLMs) from being misused to generate health disinformation, and to evaluate the …

Discussion This review is intended to explore the prevalence of research fraud, the impact of
manipulated data on guidelines and health care quality, and strategies for identifying forged …

The Centers for Disease Control and Prevention (CDC), the primary federal agency
responsible for managing infectious disease outbreaks, and the Food and Drug …

This report describes ivermectin prescription fill rates among US active component service
members (ACSM) over time during the early phases of the COVID-19 pandemic. Information …