Publications by authors named "J N Colin"

Antifungal resistance in humans is a clinical reality of increasing incidence that raises problems for patient care. In this current event, we discuss the link that can be made between the presence of antifungals in the environment and the development of resistance in humans, as well as the ecotoxicology of antifungals. The presence of antifungals in the environment has a health, but also an ecological impact.

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Article Synopsis
  • The study aimed to identify factors that lead to both general and inappropriate antibiotic prescriptions for residents with lower respiratory tract infections (LRTI) in long-term care facilities (LTCFs).
  • Conducted in Western Switzerland, researchers observed 114 residents and found that over half received antibiotics, but a significant portion of these prescriptions were deemed inappropriate.
  • The use of diagnostic tests, particularly PCR for respiratory viruses, was linked to reduced antibiotic prescriptions, suggesting that enhanced testing could improve prescribing practices in LTCFs.
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Alternative transcription start site (TSS) usage regulation has been identified as a major means of gene expression regulation in metazoans. However, in fungi, its impact remains elusive as its study has thus far been restricted to model yeasts. Here, we first re-analyzed TSS-seq data to define genuine TSS clusters in 2 species of pathogenic Cryptococcus.

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Occupational medicine is an essential branch of preventive medicine that aims to protect the health of workers in the workplace. Any work situation exposes the worker to occupational hazards. The three levels of prevention applied in occupational medicine make it possible, together, to control risks.

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Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity as a type of explainability method. However, recent research has exposed the limited practical value of these methods, attributed in part to their narrow focus on the most prominent regions of an image - revealing "where" the model looks, but failing to elucidate "what" the model sees in those areas. In this work, we try to fill in this gap with CRAFT - a novel approach to identify both "what" and "where" by generating concept-based explanations.

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