Publications by authors named "C Perez Matos"

Background: This paper addresses the importance of timely and robust information systems that underpin emergency response decision-making, as evidenced during the COVID-19 pandemic in the WHO European Region. Recognizing the relevance of these systems, we propose the strengthening of national emergency response information management systems (ERIMS) within the broader digital health information system (HIS) framework. We aim to develop and present an innovative assessment tool designed to evaluate and assist in the strengthening of ERIMS, contributing to a more resilient and effective emergency response.

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Background: Postprocedural pericarditis (PP) can occur in up to 29.4% of patients undergoing epicardial catheter ablation of ventricular tachycardia (VT). Despite several proposed strategies to mitigate this adverse outcome, rates of PP and pericarditic pain remain high.

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Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).

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HSP70 chaperones play pivotal roles in facilitating protein folding, refolding, and disaggregation through their binding and releasing activities. This intricate process is further supported by J-domain proteins (JDPs), also known as DNAJs or HSP40s, which can be categorized into classes A and B. In yeast, these classes are represented by Ydj1 and Sis1, respectively.

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Background: The percentage of Portuguese psoriasis patients with psoriatic arthritis is unknown but musculoskeletal complaints related to PsA affect up to a third of patients. Dermatologists can identify early PsA as skin symptoms often precede joint symptoms in 80% of patients. Efficient and easy to perform screening tools are needed to help dermatologists effectively discriminate between Pso and PsA patients.

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