Artificial Intelligence and Machine Learning - Volume 32, Issue

Now more than ever, scientists must speak up for science - Volume 28, Issue

In this post-truth era we live in, the validity of facts from climate change and evolution to the shape of the earth and even vaccine safety is challenged by misinformation. As scientists,we should make greater efforts to engage with the public and…

Plain language summaries of publications: What has COVID-19 taught us? - Volume 30, Issue

The COVID-19 pandemic has significantly impacted the whole world, and the public has had to struggle with understanding scientific data on a daily basis. The impact of scientific misunderstanding became painfully apparent with the decline in vaccine…

Fake news and vaccination: How the Science Anti-Fake News team in Argentina is fighting the infodemic - Volume 31, Issue

At the outset of the pandemic, it became clear that misinformation (“fake news”) on COVID-19 was spreading rapidly. In this article, we discuss our efforts to combat misinformation by joining with researchers from various disciplines in Argentina to…

AI for medical writers: Friend or foe? - Volume 32, Issue

Artificial intelligence (AI) is beginning to affect almost every industry, and medical writing is no different. But how does this relate to our industry? How will AI affect medical writers? What’s already available and what is in the pipeline?…

Clinical trial transparency and disclosure from the medical writing perspective - Volume 33, Issue

It’s been more than 6 years since our last Medical Writing edition dedicated to clinical trial transparency and disclosure. Since then, we have seen the full implementation of the long-awaited EU Clinical Trials Regulation (CTR), the pause and restar…

Artificial intelligence – will we be replaced by robots? - Volume 28, Issue

Advances in artificial intelligence (AI) increasingly dominate the news with billions of dollars in funding invested to combine AI with machine learning and data science across many disciplines, including medicine and healthcare. Within the context…

Regulatory initiatives for artificial intelligence applications: Regulatory writing implications - Volume 32, Issue

Applications of artificial intelligence (AI)/machine learning (ML) components in drug development are growing exponentially. The trend is expected to continue. The growth has resulted in increased engagements on the part of regulatory agencies to…

Harmonising linguistic validation with AI: Precision, efficiency, and the human touch in patient-reported outcome translation - Volume 33, Issue

The surge in artificial intelligence (AI) prompts a reassessment of linguistic validation methods for patient-reported outcome (PRO) measures. The robust linguistic process, designed to adapt PRO measures for different cultures and languages, is…