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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,594 datasets
A 26-month prospective multinational initiative funded by the Erasmus+ Programme, conducted by five academic institutions across Spain, Italy, Greece, and the Czech Republic. The EUPEMEN project developed and disseminated seven standardized Enhanced Recovery After Surgery protocols and a digital learning platform with ten educational modules. The dataset, authored by Orestis Ioannidis and last updated in May 2026, documents the project's structure, implementation strategy, and early outcomes.
A 26-month multinational project report detailing the development and dissemination of seven standardized Enhanced Recovery After Surgery (ERAS) protocols for abdominal surgery. The EUPEMEN initiative, funded by Erasmus+ and involving five academic institutions across Spain, Italy, Greece, and the Czech Republic, created a multilingual educational platform and trained ten trainers. The document describes the project's structure, implementation strategy, and early outcomes, including engagement with 366 healthcare professionals.
The EUPEMEN project was a 26-month, prospective, multinational implementation initiative funded by the Erasmus+ Programme and involving five academic institutions across Spain, Italy, Greece, and the Czech Republic. It developed seven standardized Enhanced Recovery After Surgery (ERAS) protocols for major general surgical domains and disseminated them via a multilingual digital learning platform and train-the-trainer activities. The project engaged 366 healthcare professionals through multiplier events and achieved ERAS implementation in all partner institutions.
EUPEMEN developed seven standardized Enhanced Recovery After Surgery (ERAS) protocols for major general surgical domains across five European countries. The 26-month project created a multilingual digital learning platform with ten educational modules and trained ten trainers who engaged 366 healthcare professionals. This framework, funded by the Erasmus+ Programme, provides a structured approach to harmonizing post-surgical care implementation.
The EUPEMEN project presents a 26-month, multinational initiative funded by Erasmus+ to standardize Enhanced Recovery After Surgery (ERAS) protocols across European surgical centers. It involved five academic institutions across Spain, Italy, Greece, and the Czech Republic, developing seven procedure-specific modules and a digital learning platform translated into five languages. The project engaged 366 healthcare professionals through multiplier events and established a train-the-trainer model for dissemination.
A 26-month multinational initiative funded by the Erasmus+ Programme, the EUPEMEN project developed and disseminated seven standardized Enhanced Recovery After Surgery protocols for major general surgical domains. The project involved five academic institutions across Spain, Italy, Greece, and the Czech Republic, creating a digital learning platform with ten educational modules and training ten trainers. The framework includes multilingual materials and was implemented across all partner institutions.
The EUPEMEN project developed a multinational framework for implementing Enhanced Recovery After Surgery protocols across European surgical centers. Seven standardized procedure-specific protocols were created, translated into five languages, and disseminated via a digital learning platform and train-the-trainer activities. The project was funded by the Erasmus+ Programme and conducted over 26 months by five academic institutions in Spain, Italy, Greece, and the Czech Republic.
A 26-month multinational initiative funded by the Erasmus+ Programme, the EUPEMEN project developed and disseminated standardized Enhanced Recovery After Surgery (ERAS) protocols. The project involved five academic institutions across Spain, Italy, Greece, and the Czech Republic, creating seven procedure-specific modules and a digital learning platform. Authored by Orestis Ioannidis, the project documentation was last updated in May 2026.
Between 2013 and 2024, 16,618 canine cancer records from four Italian regional registries were analyzed. Maria Ines Crescio authored this study, which found multiple malignant primary tumors (mMPTs) in 11.3% of oncologic dogs. The dataset likely contains records of tumor diagnoses classified by Vet-ICD-O-Canine-1.
A 15.0 KB document authored by Tianjiao Li and last updated on 2026-05-25. It discusses the pathophysiological interrelationships and shared genetic susceptibilities between type 2 diabetes mellitus and polycystic ovary syndrome. The document reviews epidemiological risks, diagnostic assessments, and current management strategies, including the potential complementary value of traditional Chinese medicine.
A 1.5 MB dataset on figshare, last updated May 2026, analyzes changes in seismocardiography signal variability due to sub-optimal blood volume status. The work by Gabriela I. Cestero fused data from 11 heart failure patients and 15 swine to compare compensated and decompensated states. Results indicate significant changes in signal consistency in the lateral axis for both hypervolemia and hypovolemia populations.
The Sleep for Stroke Management and Recovery Trial (Sleep SMART) describes a multi-level support strategy for continuous positive airway pressure (CPAP) use in stroke patients. The trial involved 1,892 participants equally randomized across 146 sites in the United States from 2019 to 2025. The supplementary file details the primarily remote, telemedicine-based support program implemented to maximize participant access and adherence.
A document describes the multi-level continuous positive airway pressure support program implemented within the Sleep for Stroke Management and Recovery Trial (Sleep SMART). The program was designed for a large, multicenter clinical trial involving 1,892 participants randomized across 146 sites in the United States from 2019 to 2025. The file was authored by Devin L. Brown and shared under a CC-BY-4.0 license.
58 patients in the subacute phase after stroke participated in this prospective cohort study. Denis Moskiewicz published the data on figshare under a CC-BY-4.0 license, last updated on 2026-05-25. The dataset includes assessments of upper limb motor function, muscle tone via myotonometry, and quality of life.
A conceptual model and preliminary content for a patient-reported outcome measurement (PROM) tool designed for patients who have undergone total hip arthroplasty (THA) in Mainland China. The development involved 50 patients and 17 experts and resulted in a model with eight key dimensions and a corresponding 99-item instrument. The work was authored by Liang Li and is available under a CC-BY-4.0 license.
Tanja Muralt authored a review document on figshare analyzing the interplay between neutrophil extracellular traps (NETs), autophagy, and inflammation in thrombotic autoimmune diseases. The 246.4 KB DOCX file, last updated in 2026, focuses on immune thrombocytopenia (ITP), heparin-induced thrombocytopenia (HIT), and immune-mediated thrombotic thrombocytopenic purpura (iTTP). It proposes a model where these mechanisms mutually reinforce disease and explores potential pharmacological interventions targeting autophagy.
Jiale Xu published a dataset on figshare in 2026 detailing the isolation and characterization of Wenzhou Mammarenavirus (WENV) in Hubei Province, China. The dataset likely contains results from screening 969 small mammals, genomic analysis of 10 positive rodents, and functional characterization of an isolated strain. It includes data on cell tropism, infectivity in organoids, and pathogenicity in mice.
Nine studies comprising 3,718 patients were included in this meta-analysis evaluating the prognostic nutritional index (PNI) in breast cancer patients receiving neoadjuvant chemotherapy. The analysis, authored by Meihui Shan and published on figshare in April 2026, systematically reviewed evidence from PubMed, Embase, Web of Science, and the Cochrane Library up to November 2025. It synthesized hazard ratios and odds ratios to assess associations between pre-treatment PNI and overall survival, disease-free survival, and pathological complete response.
A systematic review and meta-analysis of 9 studies comprising 3,718 breast cancer patients receiving neoadjuvant chemotherapy, evaluating the prognostic value of the pre-treatment Prognostic Nutritional Index (PNI). The analysis, authored by Meihui Shan and last updated in April 2026, synthesized hazard ratios and odds ratios for overall survival, disease-free survival, and pathological complete response. The dataset is a summary document of the meta-analysis results.
A prospective cohort study of 75 patients with acute ischemic stroke and hypertension from December 2021 to June 2024. The dataset likely contains clinical scores and blood pressure variability measurements collected by Keqiong Yan. Outcomes were assessed using modified Rankin Scale (mRS) and NIH Stroke Scale (NIHSS) scores during the acute phase and after 90 days.