With antimicrobial resistance causing over 5 million deaths annually, rapid outbreak detection is critical. A German lab ...

Abstract. Similarity-based Hierarchical Clustering (HC) is a classical unsupervised machine learning algorithm that has traditionally been solved with heuristic algorithms like Average-Linkage.

Objectives This study aimed to establish the association between timing and provision of palliative care (PC) and quality of end-of-life care indicators in a population of patients dying of cancer.

bactaxR is an R package which contains functions to aid in average-nucleotide identity (ANI)-centric bacterial taxonomy construction and evaluation. Specific functions include: Carroll, Laura M., ...