A5063148766- Long-Term Effects of COVID-19
- COVID-19 and Mental Health
- COVID-19 Clinical Research Studies
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Intensive Care Unit Cognitive Disorders
- Prostate Cancer Diagnosis and Treatment
- Olfactory and Sensory Function Studies
- Musculoskeletal pain and rehabilitation
- Medical Imaging and Analysis
- Retinal and Optic Conditions
- Advanced Neural Network Applications
- Inflammasome and immune disorders
- Erythropoietin and Anemia Treatment
- SARS-CoV-2 and COVID-19 Research
- AI in cancer detection
- Retinal Imaging and Analysis
- Peripheral Nerve Disorders
- Dialysis and Renal Disease Management
- Sleep and related disorders
- Motor Control and Adaptation
- Climate variability and models
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Meteorological Phenomena and Simulations
- Thermal Regulation in Medicine
- Medical Image Segmentation Techniques
Universitat de València
2019-2025
Parc Científic de la Universitat de València
2023-2025
University Hospital Heidelberg
2024
Fred Hutch Cancer Center
2024
Resonance Research (United States)
2024
University of California, San Francisco
2024
Sidney Kimmel Comprehensive Cancer Center
2024
Cancer Research Center
2024
University of Washington
2024
Heidelberg University
2024
This multicenter cohort study investigated the differences between coronavirus disease 2019 (COVID-19) related symptoms and post-COVID male female COVID-19 survivors. Clinical hospitalization data were collected from hospital medical records in a sample of individuals recovered at five public hospitals Spain. A predefined list was systematically assessed, but patients free to report any symptom. Anxiety/depressive levels sleep quality also assessed. Adjusted multivariate logistic regressions...
Identification of long-term post-COVID-19 symptoms among hospitalized and nonhospitalized patients is needed.To compare the presence 2 years after acute SARS-CoV-2 infection between patients.A cross-sectional cohort study was conducted at urban hospitals general practitioner centers from March 20 to April 30, 2020, 360 308 with during first wave pandemic. Follow-up later.Participants were scheduled for a telephone interview infection. The systematically assessed, particular attention...
Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on diagnosis prostate cancers (PCa), analyzing these images remains still complex even for experts. This paper proposes fully automatic system based Deep Learning that performs localization, segmentation and Gleason grade group (GGG) estimation PCa lesions from mpMRIs. It uses 490 mpMRIs training/validation 75 testing two different datasets: ProstateX Valencian Oncology Institute...
Anthracnose is one of the primary diseases that affect olive production before and after harvest, causing severe damage economic losses. The objective this work to detect disease in early stages, using hyperspectral images advanced modelling techniques Deep Learning (DL) convolutional neural networks (CNN). olives were artificially inoculated with fungus. Hyperspectral (450–1050 nm) each acquired until visual symptoms observed, some cases up 9 days. classified into two classes: control,...
Abstract This study investigated the prevalence of long-term musculoskeletal post-COVID pain and their risk factors in a large cohort COVID-19 survivors. A multicenter including patients hospitalised because 5 hospitals Madrid (Spain) during first wave pandemic was conducted. Hospitalisation clinical data were collected from medical records. Patients scheduled for telephone interview after hospital discharge collecting about pain. Anxiety/depressive levels sleep quality likewise assessed....
This multicenter study investigated clinical risk factors associated with the number of long-term symptoms after COVID.Clinical features, at hospital admission, hospitalization data, and COVID was systematically assessed for patients who recovered from COVID-19 in 4 hospitals Madrid (Spain) February 20 to May 31, 2020.Overall, 1,969 (46.5% women, age: 61, SD: 16 years) were randomly 8.4 months (SD 1.5) discharge. Female gender (odds ratio [OR] 1.82, 95% confidence interval [CI] 1.57-2.10),...
This study compared associated-symptoms at the acute phase of infection and post-COVID-19 symptoms between individuals hospitalized with Wuhan, Alpha or Delta SARS-CoV-2 variant. Non-vaccinated because in one hospital during three different waves pandemic (Wuhan, Delta) were scheduled for a telephone interview. The presence was systematically assessed. Hospitalization clinical data collected from medical records. A total 201 patients infected Wuhan variant, 211 variant 202 assessed six...
To identify subgroups of COVID-19 survivors exhibiting long-term post-COVID symptoms according to clinical/hospitalization data by using cluster analysis in order foresee the illness progress and facilitate subsequent prognosis.Age, gender, height, weight, pre-existing medical comorbidities, Internal Care Unit (ICU) admission, days at hospital, presence hospital admission were collected from records a sample patients recovered five hospitals Madrid (Spain). A predefined list was...
Purpose To describe the design, conduct, and results of Breast Multiparametric MRI for prediction neoadjuvant chemotherapy Response (BMMR2) challenge. Materials Methods The BMMR2 computational challenge opened on May 28, 2021, closed December 21, 2021. goal was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) dynamic contrast-enhanced (DCE) along with clinical data predicting pathologic complete response (pCR) following...
The aim of the study was to identify association between four selected COVID-19 polymorphisms ACE2 and TMPRSS2 receptors genes with presence long-COVID symptomatology in survivors. These were as they associate entry SARS-CoV-2 virus into cells, so could be important for prognoses symptoms. Two hundred ninety-three (n = 293, 49.5% female, mean age: 55.6 ± 12.9 years) individuals who had been previously hospitalized due included. Three potential genotypes following single nucleotide (SNPs)...
This study compared differences in the presence of post-COVID symptoms among vaccinated and non-vaccinated COVID-19 survivors requiring hospitalization due to Delta (B.1.617.2) variant. cohort included hospitalized subjects who had survived SARS-CoV-2 infection (Delta variant) from July August 2021 an urban hospital Madrid, Spain. Individuals were classified as if they received full administration (i.e., two doses) BNT162b2 ("Pfizer-BioNTech") vaccines. Other vaccines excluded. Those with...
This study aimed to apply Sankey plots and exponential bar for visualizing the trajectory of post-COVID brain fog, memory loss, concentration loss in a cohort previously hospitalized COVID-19 survivors.A sample 1,266 patients due during first wave pandemic were assessed at 8.4 (T1), 13.2 (T2), 18.3 (T3) months after hospital discharge. They asked about presence following self-reported cognitive symptoms: fog (defined as self-perception sluggish or fuzzy thinking), unusual forgetfulness), not...
Abstract Objective: This cohort study used Sankey plots and exponential bar for visualizing the fluctuating nature trajectory of post-COVID pain in previously hospitalized COVID-19 survivors. Methods: A 1266 subjects hospitalised because during first wave pandemic were scheduled a telephone interview at 8.4 (T1), 13.2 (T2), 18.3 (T3) months average after hospitalization collecting data about pain. Patients asked symptomatology that was attributed to infection. Hospitalization clinical...
Abstract With climate extremes’ rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, curated analysis-ready datasets. Earth observation datasets comprehensively monitor ecosystem dynamics responses climatic extremes, yet the data complexity can challenge effectiveness of machine models. Despite recent progress in deep monitoring, there is a...
Genetics and epigenetics are mechanisms proposed for explaining post-COVID-19 condition. This secondary analysis aimed to investigate if DNA methylation levels of the ACE2 promoter different depending on genotype five COVID-19-related polymorphisms in individuals who had been previously hospitalized due SARS-CoV-2 infection. We collected non-stimulated saliva samples from 279 (48.7% female, age: 56.0 ± 12.5 years) COVID-19 survivors. The participants self-reported presence post-COVID...
Abstract This multicenter cohort study investigated the prevalence of musculoskeletal post-COVID pain during first year after infection with mosaic plots and an exponential bar plot model its associated risk factors. Patients hospitalized because COVID-19 in 5 hospitals Madrid (Spain) were scheduled for a telephone interview at 2 follow-up periods hospitalization collecting data about pain. Hospitalization clinical collected from hospital medical records. From 2000 patients initially...
We compared the prevalence of musculoskeletal post-COVID pain between previously hospitalized COVID-19 survivors infected with historical, Alpha or Delta SARS-CoV-2 variant. Data about were systematically collected through a telephone interview involving 201 patients who had survived historical variant, 211 variant and 202 six months after hospital discharge. Participants recruited from non-vaccinated individuals due to infection in one Madrid (Spain) during three different waves pandemic...
Abstract The SARS‐CoV‐2 VIrus PERsistence (VIPER) study investigated the presence of long‐lasting RNA in plasma, stool, urine, and nasopharyngeal samples COVID‐19 survivors. reverse transcription polymerase chain reactions (RT‐PCR) were analyzed within swab survivors with post‐COVID symptoms a comparison group without matched by age, sex, body mass index vaccination status. Participants self‐reported any symptom (defined as that started no later than 3 months after initial infection)....
To apply Sankey plots and exponential bar for visualizing the evolution of anxiety/depressive symptoms poor sleep in previously hospitalized COVID-19 survivors. A sample 1266 subjects who were due to a SARS-CoV-2 from March–May 2020 assessed at 8.4 (T1), 13.2 (T2) 18.3 (T3) months after hospitalization. The Hospital Anxiety Depression Scale was used determine anxiety (HADS-A) depressive (HADS-D) symptoms. Pittsburgh Sleep Quality Index (PSQI) evaluated quality. Clinical features, onset...
Digital twins of the Earth are digital representations system, spanning scales and domains. Their purpose is to monitor, forecast assess system consequences human interventions on system. Providing users with capability interact interrogate decision support systems for addressing environmental challenges. By informing humans their impact aspire promote new pathways moving forward. answering causal queries through intervention analysis, they can enhance evidence-based policy making. Existing...