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Integrating medical imaging datasets with blockchain wallets

Esperança, Marco; Galvão, Tiago; Freitas, Diogo; Ferreira, Joao C.; Cysneiros, Ana; Bento, Luís

Medical imaging plays a critical role in diagnosing and managing acute conditions such as Acute Respiratory Distress Syndrome (ARDS), particularly in intensive care settings. However, radiological data are often siloed across Picture Archiving and Communication Systems (PACS), with limited interoperability, traceability, and patient control. This paper proposes and validates a blockchain-enabled architecture th...


Predicting delirium in critically Ill COVID-19 patients using EEG-derived data

Viegas, Ana; Von Rekowski, Cristiana P.; Araújo, Rúben; Ramalhete, Luís; Viegas, Ana; Cordeiro, Inês Menezes; Manita, Manuel; Viana-Baptista, Miguel

Delirium is a severe and common complication among critically ill patients, particularly those with SARS-CoV-2 infection, contributing to increased morbidity and mortality. Early identification of at-risk patients is crucial for timely intervention and improved outcomes. This prospective observational cohort study explores the potential of electroencephalography (EEG) combined with machine learning (ML) models ...


Cytokine-based insights into bloodstream infections and bacterial gram typing i...

Araújo, Rúben Alexandre Dinis; Ramalhete, Luís; Von Rekowski, Cristiana; Henrique Fonseca, Tiago Alexandre; Calado, Cecília; Bento, Luís

Timely and accurate identification of bloodstream infections (BSIs) in intensive care unit (ICU) patients remains a key challenge, particularly in COVID-19 settings, where immune dysregulation can obscure early clinical signs. Methods: Cytokine profiling was evaluated to discriminate between ICU patients with and without BSIs, and, among those with confirmed BSIs, to further stratify bacterial infections by Gra...


Ultrasound monitoring of skeletal muscle wasting and relation to nutritional in...

Rosa Domingues, Catarina; C Rodeia, Simão; Francisco, Ana Rita; Santos, Laura; Cerca, Carolina; Costa, Madalena; Pinto, Vera; Fortuna, Philip

Background: Critically ill patients frequently experience profound skeletal muscle (SM) wasting, to which early detection and effective clinical management remain significant challenges. Ultrasonography (US) provides early objective information about SM compared with usual functional tests. The characteristics of the optimal nutritional support are controversial. This observational study aimed to characterize t...


Multiplex Targeted Proteomic Analysis of Cytokine Ratios for ICU Mortality in S...

Araújo, Rúben; Von Rekowski, Cristiana P.; Fonseca, Tiago A.H.; Calado, Cecília R.C.; Ramalhete, Luís; Bento, Luís

Background: Accurate and timely prediction of mortality in intensive care unit (ICU) patients, particularly those with COVID-19, remains clinically challenging due to complex immune responses. Proteomic cytokine profiling holds promise for refining mortality risk assessment. Methods: Serum samples from 89 ICU patients (55 discharged, 34 deceased) were analyzed using a multiplex 21-cytokine panel. Samples were s...


Ultrasound Monitoring of Skeletal Muscle Wasting and Relation to Nutritional In...

Rosa Domingues, Catarina; Rodeia, Simão; Francisco, Ana Rita; Santos, Laura; Cerca, Carolina; Costa, Madalena; Pinto, Vera; Fortuna, Philip

Background: Critically ill patients frequently experience profound skeletal muscle (SM) wasting, to which early detection and effective clinical management remain significant challenges. Ultrasonography (US) provides early objective information about SM compared with usual functional tests. The characteristics of the optimal nutritional support are controversial. This observational study aimed to characterize t...


Cytokine-Based Insights into Bloodstream Infections and Bacterial Gram Typing i...

Araújo, Rúben; Ramalhete, Luís; Von Rekowski, Cristiana; Fonseca, Tiago AH; Calado, Cecília; Bento, Luís

Funding Information: This research was funded by project grant DSAIPA/DS/0117/2020, supported by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, Portugal, and IPL/IDI&CA2024/R-DICIP_ISEL by Instituto Polit\u00E9cnico de Lisboa, Portugal. The present work was conducted in Instituto Polit\u00E9cnico de Lisboa and in the Engineering & Health Laboratory, resulting from a collaboration protocol established be...


Analyzing Heart Rate Variability for COVID-19 ICU Mortality Prediction Using Co...

De Azevedo David, Guilherme; Lourenço, André; Von Rekowski, Cristiana; Pinto, I. M.; Calado, Cecília; Bento, Luís

Funding Information: This research was supported by national funds through the Fundação para a Ciência e Tecnologia (FCT), I.P., under the following grants: DSAIPA/DS/0117/2020, UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020), UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications), project with reference 2023.01951.BD and DOI: https://doi.org/10.54499/202...


Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, ...

Viegas, Ana; Von Rekowski, Cristiana; Araújo, Rúben; Viana-Baptista, M; P Macedo, M; Bento, Luís

Funding Information: This research was funded by the project grant DSAIPA/DS/0117/2020, supported by FCT\u2014Funda\u00E7\u00E3o para a Ci\u00EAncia e Tecnologia, I.P. Cristiana P. Von Rekowski and R\u00FAben Ara\u00FAjo acknowledge the support received from FCT through the PhD grants 2023.01951.BD (DOI: https://doi.org/10.54499/2023.01951.BD) and 2021.05553.BD (DOI: https://doi.org/10.54499/2021.05553.BD), res...


Survivability prediction based on the serum molecular fingerprint in critically...

Correia, Inês; Araújo, Rúben Alexandre Dinis; Henrique Fonseca, Tiago Alexandre; Von Rekowski, Cristiana; Bento, Luís; Calado, Cecília

It is relevant to discover biomarkers enabling to predict critically ill patients’ survival. This study focused on 45 patients, from which 22 deceased and 23 were discharged from an Intensive Care Unit (ICU). It was considered the serum molecular fingerprint, as acquired by Fourier Transform Infra-Red (FTIR) spectroscopy, obtained 3 days before the patients discharged or death at the ICU. It was possible to obt...


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