Publications by authors named "F J Verbeek"

Cognitive impairment affiliated with neurological disorders has a severe impact on daily life functioning and the quality of life of patients. This is associated with a significant and long-lasting health, social and financial burden, not only for the patients, but also for families and the wider society. However, treatment for cognitive impairment is only available for the indication Alzheimer's disease (AD) and its prodromal stage Mild Cognitive Impairment (MCI), although with major adverse effects, i.

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Objective: Insights about what actions contributed to the development of an interprofessional learning and working culture were lacking for nursing homes. This study aimed to provide insight into the context and actions that trigger mechanisms for the development of an interprofessional learning and working culture in nursing homes.

Study Design: Realist evaluation action research was conducted from 2019 to 2023.

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Article Synopsis
  • Identifying early-stage mycosis fungoides (MF), a type of skin cancer, is hard because it looks a lot like harmless skin conditions.
  • Researchers are using deep learning (DL), a type of computer technology, to help doctors tell the difference between MF and these benign conditions by looking at images from skin biopsies.
  • The study showed that this DL method can get pretty close to the accuracy of expert doctors, which is promising for improving cancer diagnoses in the future.
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Tuberculosis (TB) is a world health challenge the treatment of which is impacted by the rise of drug-resistant strains. Thus, there is an urgent need for new antitubercular compounds and novel approaches to improve current TB therapy. The zebrafish animal model has become increasingly relevant as an experimental system.

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Fungi is a highly diverse group of eukaryotic organisms that live under an extremely wide range of environmental conditions. Nowadays, there is a fundamental focus on observing how biodiversity varies on different spatial scales, in addition to understanding the environmental factors which drive fungal biodiversity. Metabarcoding is a high-throughput DNA sequencing technology that has positively contributed to observing fungal communities in environments.

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