In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial
resistance (AMR) if the necessary precautions were not taken diligently. As the growing …

Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …

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 …

Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …

Machine learning: novel bioinformatics approaches for combat... : Current Opinion in Infectious
Diseases Machine learning: novel bioinformatics approaches for combating antimicrobial …

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 …

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 …

Biological datasets amenable to applied machine learning are more available today than
ever before, yet they lack adequate representation in the Data-for-Good community. Here we …

Antibiotic resistance poses a significant threat to global public health due to complex
interactions between bacterial genetic factors and external influences such as antibiotic …

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