Infection and Drug Resistance

Unlocking Drug Resistance Prediction with AI

We are pleased to announce a new Article Collection in Infection and Drug Resistance, dedicated to the role of artificial intelligence (AI) in the prediction of drug resistance.

AI has the potential to revolutionize patient care, offering significant benefits in predicting drug response and resistance and improving antibiotic stewardship. Given the importance of AI in this setting, we are pleased to invite submissions of original research articles, reviews, and perspectives on the topic.

The collection, edited by Editor-In-Chief Professor Oliver Planz, will be included in Taylor & Francis’ Game Changer Series. This series features Article Collections focused on breakthrough therapies, drugs, or technologies that have significantly altered the standard of care, leading to game-changing improvements in patient outcomes. Papers published within the Game Changer series will benefit from additional promotional activities across Taylor and Francis, increasing the discoverability and visibility of your research.

While the call is open to receive manuscripts across the broad spectrum of AI in predicting drug resistance, the Editors are particularly interested in manuscripts relating to the following areas:

• The performance of AI/machine learning techniques in combating antimicrobial resistance
• Studies relating to emerging resistance patterns and potential hotspots
• Design and evaluation of user-friendly machine learning decision support systems
• Challenges and opportunities for practical implementation
• Topics relating to ethics, data privacy, and algorithmic bias

Submitting authors are eligible for a 20% discount on the Article Publishing charge by applying the following code at the point of submission: AOWGL. The code must be applied at the point of submission.

If you have any queries regarding the Article Collection or would like to discuss a submission, then please email the Commissioning Editor at zhiyuan.zhang@taylorandfrancis.com.