Highlights•Artificial intelligence can combat AMR by discovering antibiotic alternatives.•AI is
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …

Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …

Since artificial intelligence (AI) and, more specifically, machine learning have found their
way into medical research, expectation for these techniques to advance patient care has …

Antimicrobial Resistance (AMR) has been identified by the World Health Organisation
(WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the …

The decision on when it is appropriate to stop antimicrobial treatment in an individual patient
is complex and under-researched. Ceasing too early can drive treatment failure, while …

Background Viral respiratory tract infections are frequently complicated by secondary
bacterial infections. This study aimed to use machine learning to predict the risk of bacterial …

The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …

The rise of antimicrobial resistance has positioned ESKAPE pathogens as a serious global
health threat, primarily due to the limitations and frequent failures of current treatment …

Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face
in the future. There have been various attempts to preserve the efficacy of existing …

Featured Application A new algorithm that uses self-organizing maps and entropy calculus
to generate a tree structure based on XAI software principles. Abstract Data classification is …