Publications by authors named "J E FONSECA"

Objectives: Two different European Reference Networks cover CTDs with paediatric onset, the European Reference Network on Rare and Complex Connective Tissue Diseases (ERN ReCONNET) and the European Reference Network on Rare Immunological Disorders (ERN RITA). The transition of care is a significant focus, with ReCONNET centres actively addressing this through updated programs. Despite these efforts, challenges persist.

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Rhinitis is a common comorbidity in patients with asthma. However, the frequency of underreported rhinitis in asthma is not known. In this study, we aimed to assess the characteristics of patients with self-reported asthma and no self-reported rhinitis, as well as the extent of the underreporting of rhinitis.

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An important impediment to the incorporation of artificial intelligence-based tools into healthcare is their association with so-called black box medicine, a concept arising due to their complexity and the difficulties in understanding how they reach a decision. This situation may compromise the clinician's trust in these tools, should any errors occur, and the inability to explain how decisions are reached may affect their relationship with patients. Explainable AI (XAI) aims to overcome this limitation by facilitating a better understanding of how AI models reach their conclusions for users, thereby enhancing trust in the decisions reached.

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is a ubiquitous pathogenic fungus that causes blue mold decay of apple fruit postharvest, and another member of the genus, , is a well-studied saprophyte valued for antibiotic and small molecule production. While these two fungi have been investigated individually, a recent discovery revealed that can block mediated decay of apple fruit. To shed light on this observation, we conducted a comparative genomic, transcriptomic, and metabolomic study of two (404 and 413) and two (Pe21 and R19) isolates.

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Background And Objectives: The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines classify rhinitis as "intermittent" or "persistent" and "mild" or "moderate-severe". To assess ARIA classes in a real-world study in terms of phenotypic differences and their association with asthma.

Methods: We performed a cross-sectional real-world study based on users of the MASK-air® app who reported data for at least 3 different months.

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