A5054352727- Long-Term Effects of COVID-19
- Protein Structure and Dynamics
- Chronic Disease Management Strategies
- Industrial Gas Emission Control
- Atmospheric chemistry and aerosols
- Data Quality and Management
- Receptor Mechanisms and Signaling
- Heparin-Induced Thrombocytopenia and Thrombosis
- COVID-19 Clinical Research Studies
- Health Systems, Economic Evaluations, Quality of Life
- Biomedical Text Mining and Ontologies
- Platelet Disorders and Treatments
- Catalytic Processes in Materials Science
- Computational Drug Discovery Methods
- Genetic Neurodegenerative Diseases
- Lipid Membrane Structure and Behavior
- COVID-19 and Mental Health
- Suicide and Self-Harm Studies
- Artificial Intelligence in Healthcare
- Pharmacovigilance and Adverse Drug Reactions
- Genetics, Bioinformatics, and Biomedical Research
- Blood groups and transfusion
- Electronic Health Records Systems
- Advanced Chemical Physics Studies
- Advanced Proteomics Techniques and Applications
Universitat Pompeu Fabra
2013-2025
Hospital Del Mar
2022-2025
Hospital del Mar Research Institute
2013-2024
Parc de Salut
2023-2024
United States Department of Veterans Affairs
2023
Office for National Statistics
2023
University of Oxford
2023
Max-Planck-Institut für Kohlenforschung
2012-2018
Tampere University
2014
National Research Council
2014
Abstract One of the most pressing challenges in genomic medicine is to understand role played by genetic variation health and disease. Thanks exploration variants at large scale, hundreds thousands disease-associated loci have been uncovered. However, identification clinical relevance a significant challenge that requires comprehensive interrogation previous knowledge linkage new experimental results. To assist this complex task, we created DisGeNET (http://www.disgenet.org/), management...
Abstract Summary: Computer simulations are giving way to more complex and accurate studies of biological membranes by molecular dynamics (MD) simulations. The analysis MD trajectories comprises the biophysical characterization membrane properties or study protein–lipid interactions dynamics. However, there is a lack automated tools analyse membrane-protein systems. Here we present MEMBPLUGIN, plugin for Visual Molecular Dynamics package that provides algorithms measure host essential in...
ABSTRACT Purpose The generation of representative disease phenotypes is important for ensuring the reliability findings observational studies. aim this manuscript to outline a reproducible framework reliable and traceable phenotype based on real world data use in Data Analysis Real‐World Interrogation Network (DARWIN EU). We illustrate by generating two diseases: pancreatic cancer systemic lupus erythematosus (SLE). Methods phenotyping process involves 14‐steps standard operating procedure...
Huntingtin (HTT) fragments with extended polyglutamine tracts self-assemble into amyloid-like fibrillar aggregates. Elucidating the fibril formation mechanism is critical for understanding Huntington's disease pathology and developing novel therapeutic strategies. Here, we performed systematic experimental theoretical studies to examine self-assembly of an aggregation-prone N-terminal HTT exon-1 fragment 49 glutamines (Ex1Q49). Using high-resolution imaging techniques such as electron...
Background Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines.Some AESIs are not only associated with vaccines, but COVID-19.Our aim was characterise incidence rates following SARS-CoV-2 infection in patients and compare these historical general population.Methods A multi-national cohort study data from primary care, electronic health records, insurance claims mapped a common model.This study's evidence collected between Jan 1, 2017...
Individual case reports are the main asset in pharmacovigilance signal management. Signal validation is first stage after detection and aims to determine if there sufficient evidence justify further assessment. Throughout management, a prioritization of signals continually made. Routinely collected health data can provide relevant contextual information but primarily used at later pharmacoepidemiological studies assess communicated signals.The aim this study was examine feasibility utility...
eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the ToxHub) that support translational safety assessment of new drugs by using legacy data provided pharmaceutical companies participate in project. The objectives include development containing preclinical clinical data, systems for analysis including query, visualization, as well models to explain predict drug events.
TriNetX is a global health research network that connects healthcare organizations and pharmaceutical companies to facilitate clinical using real-world data (RWD). We present the TauliMar Network was created under as unique collaboration in Europe between Hospital del Mar Parc Taulí Spain. The network's first ongoing studies explore link COVID-19, type 2 diabetes, depression through inflammatory pathways, potential repurposing of antilipemic drugs such statins for treating depression....
The PERMANENS European project addresses the global public health challenge of self-harm and suicide by developing a machine learning-based Clinical Decision Support System (CDSS) to assist emergency departments (EDs) in providing personalized care. With over 700,000 suicides annually, prevention is critical, especially Europe where consistent surveillance lacking. harmonizes national attempt registries from regions Spain, Ireland, Norway, Sweden using OMOP Common Data Model (CDM) create...
The phenoxyl radical 1 was generated in high yields by flash vacuum pyrolysis of allyl phenyl ether 2 with subsequent trapping the products argon at 3 K. In water-doped matrices, an OH···O complex between and water is formed that could be characterized IR spectroscopy. Several isotopomers were generated, spectra compared to results density functional theory calculations. Other dimers not found under these conditions. QM/MM calculations simulated matrices reveal OH···π unstable even a time...
There is increasing recognition that health care providers need to focus attention, and be judged against, the impact they have on outcomes experienced by patients. The measurement of as a routine part clinical documentation probably only scalable way collecting evidence, since secondary data collection expensive error-prone. However, there uncertainty about whether routinely collected within electronic record (EHR) systems includes most relevant measuring comparing if those items are good...
Abstract Background Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty risk assessment may contribute to ineffective care. Clinical Decision Support Systems (CDSSs) show promise enhancing care processes, their effective implementation self-harm management remains unexplored. Methods PERMANENS comprises combination of methodologies and study designs aimed at developing CDSS...
Importance There is a need for representative research on serious adverse outcomes following discharge from psychiatric hospitalization. Objective To compare rates of premature death, suicide, and nonlethal intentional self-harm after with in the general population investigate associations these relevant variables associated index Design, Setting, Participants This retrospective cohort study included all residents Catalonia, Spain (7.6 million population), who had hospitalizations between...
Abstract Purpose We aimed to develop a standardized method calculate daily dose (i.e., the amount of drug patient was exposed per day) any on global scale using only information typical observational data in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and single reference table from Health Sciences And Informatics (OHDSI). Materials Methods The OMOP DRUG_STRENGTH contains strength or concentration drugs, whereas DRUG_EXPOSURE patients' prescriptions...
Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines. In this study, we explored the pre-pandemic co-occurrence of thrombosis (TWT) using 17 observational health data sources across world. We applied multiple TWT definitions, estimated background rate TWT, characterized patients, and makeup types among patients. conducted an international network retrospective cohort study...
Abstract The serotonin 5‐hydroxytryptamine 2A (5‐HT ) receptor is a G‐protein‐coupled (GPCR) relevant for the treatment of CNS disorders. In this regard, neuronal membrane composition in brain plays crucial role modulation functioning. Since cholesterol an essential component membranes, we have studied its effect on 5‐HT dynamics through all‐atom MD simulations. We find that presence increases conformational variability most segments. Importantly, detailed structural analysis indicates goes...
<title>Abstract</title> Prior evidence has suggested the multisystem symptomatic manifestations of post-acute COVID-19 condition (PCC). Here we conducted a network cluster analysis 24 WHO proposed symptoms to identify potential latent subclasses PCC. Individuals with positive test or diagnosed SARS-CoV-2 after 09/2020 and at least one symptom within ≥ 90 365 days following infection were included. Sub-analyses among people 3 different symptoms. Summary characteristics provided for each...
Abstract Importance Drug shortages leave affected patients in a vulnerable position. Objective To describe incidence and prevalence of use for medicines with suggested at least one European country, as announced by the Medicines Agency, to characterise users these drugs including indication use, duration dosage. Design We performed descriptive cohort study from 2010 up 2024 network databases which have mapped their data Observational Medical Outcomes Partnership (OMOP) Common Data Model...