Analysis of high-molecular-weight proteins using MALDI-TOF MS and machine learning for the differentiation of clinically relevant Clostridioides difficile ribotypes.

Purpose: Clostridioides difficile is the main cause of antibiotic related diarrhea and some ribotypes (RT), such as RT027, RT181 or RT078, are considered high risk clones. A fast and reliable approach for C. difficile ribotyping is needed for a correct clinical approach.

Evaluation of the recently established Dutch nationwide Archipelago of Ovarian Cancer Research biobank.

Fundamental and translational research in ovarian cancer aims to enhance understanding of disease mechanisms and improve treatment and survival outcomes. To support this, we established the Dutch multicenter, interdisciplinary Archipelago of Ovarian Cancer Research (AOCR) infrastructure, which includes a nationwide biobank. In this study, we share our experiences in establishing the infrastructure, offer guidance for similar initiatives, and evaluate the AOCR patient cohort.

spp. colonization: a genotype source found in blood cultures that can become widespread.

Objective: Our previous genotyping studies suggest that some anatomical locations act as reservoirs of genotypes that may cause further candidemia, since we found identical genotypes in gastrointestinal tract or catheter tip isolates and blood cultures, in contrast, we did not find blood culture genotypes in vagina samples. We observed that some genotypes can be found in blood cultures more frequently than others, some of them being called widespread genotypes because have been found in unrelated patients admitted to different hospitals. The presence of widespread genotypes may be more frequently found because of their predisposition to cause candidemia.

Problem solving is embedded in context… so how do we measure it?

Problem solving encompasses the broad domain of human, goal-directed behaviors. Though we may attempt to measure problem solving using tightly controlled and decontextualized tasks, it is inextricably embedded in both reasoners' experiences and their contexts. Without situating problem solvers, problem contexts, and our own experiential partialities as researchers, we risk intertwining the research of information relevance with our own confirmatory biases about people, environments, and ourselves.