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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,861 datasets
A study by Wei Bu, published on figshare in April 2026, investigates the role of Mucosal-associated invariant T (MAIT) cells in sepsis-related liver injury. The research includes data from 233 human participants across four clinical groups and a murine model established via LPS injection. The findings describe MAIT cell frequency, activation, exhaustion phenotypes, and cytokine production.
47 sepsis-related liver injury patients, 37 non-septic liver injury patients, 34 sepsis patients without liver injury, and 115 healthy controls were analyzed for mucosal-associated invariant T cell frequency, phenotype, and cytokine production. The dataset likely contains flow cytometry measurements from a clinical cohort and murine model experiments. It was authored by Wei Bu and last updated on April 15, 2026.
47 sepsis-related liver injury patients, 37 non-septic acute liver injury patients, 34 sepsis patients without liver injury, and 115 healthy controls were analyzed for mucosal-associated invariant T cell frequency and phenotype. The study, authored by Wei Bu and last updated in April 2026, includes flow cytometry data and in vitro assays showing MAIT cells shift toward a Th17-like profile. A murine model using LPS injection further demonstrated the protective role of MAIT cells in mitigating liver injury severity.
Wei Bu's research data on figshare, last updated April 2026, investigates the role of Mucosal-associated invariant T (MAIT) cells in sepsis-related liver injury. The study includes data from a clinical cohort of 47 SRLI patients, 37 NSLI patients, 34 NLIS patients, and 115 healthy controls, alongside a murine model. The 12.8 KB file is a document describing the study's background, methods, results, and conclusions.
176 differentially expressed plasma proteins were identified in a study of 84 type 2 diabetes patients with and without metabolic dysfunction-associated steatotic liver disease. The dataset, authored by Hua Ji and updated in April 2026, focuses on the novel biomarker XPNPEP3, which was significantly downregulated and validated via ELISA and immunohistochemistry.
A clinical study dataset investigating the relationship between early vancomycin exposure and acute kidney injury. The data includes 180 enrolled patients, with 29 (16.1%) developing AKI, and groups patients based on measured AUC0–48h values. The research was authored by Yuta Ibe and last updated on figshare in April 2026.
362 patient records with pathologically confirmed bronchiolar adenoma or lung adenocarcinoma were analyzed. The dataset supports a fusion model combining clinical characteristics, CT morphological features, and tumor-peritumoral radiomics features, developed by Ziqian Zhao and last updated in April 2026. The model achieved AUCs up to 0.939 for differentiating the two conditions.
A retrospective analysis of 362 patients from two medical centers with pathologically confirmed bronchiolar adenoma or lung adenocarcinoma. The dataset includes clinical characteristics, CT morphological features, and tumor-peritumoral radiomics features extracted from CT scans, used to build a fusion model for non-invasive differentiation. The dataset was authored by Ziqian Zhao and last updated in April 2026.
A 2026 dataset from figshare by Luigi Russo containing ethics committee protocols and approvals for a clinical trial. The trial enrolled 650 healthy participants over 40 years old to assess the impact of communicating Polygenic Risk Scores (PRS) for cardiovascular disease on lifestyle behaviors. It includes documentation from the PHC study, a single-arm trial registered at ClinicalTrials.gov (NCT06888466).
A cross-sectional study of 134 pregnant women in the Kumasi metropolis, Ashanti Region, Ghana, assessing awareness, knowledge, practices, and beliefs about pelvic floor muscle exercises (PFMEs). The dataset was created by Yaa Abrafi Ankomah and last updated in April 2026. It contains results from a questionnaire, with subsequent analysis focusing on the 47 participants who reported awareness of PFMEs.
134 pregnant women were surveyed in a cross-sectional study in Kumasi, Ghana. The data records socio-demographic characteristics and assesses awareness, knowledge, practices, and beliefs regarding pelvic floor muscle exercises (PFMEs). The dataset was authored by Yaa Abrafi Ankomah and last updated in April 2026.
2010 to 2021 data on medically-attended Lyme disease incidence in Manitoba, Canada. The dataset was created by Maria Major using diagnostic codes, antibiotic dispensations, and laboratory results from a claims database covering over 95% of Manitoba's residents. It compares claims-based incidence rates, ranging from 8.4 to 28.5 per 100,000 population, with official surveillance-reported cases.
Ahmad Dweikat's dataset contains path coefficients and hypothesis testing results from a TAM-TOE model survey of 220 healthcare professionals. The survey, conducted from December 2023 to June 2024, measured eight Technology-Organization-Environment constructs, TAM beliefs, and behavioral intention regarding Electronic Health Information Systems.
December 2023 to June 2024 survey data from 220 healthcare professionals in Palestinian hospitals. Ahmad Dweikat collected responses to validate a combined Technology Acceptance Model and Technology-Organization-Environment framework for electronic health information systems. The model explains up to 74% of variance in behavioral intention.
Survey data from 220 healthcare professionals in Palestinian hospitals assessed eight Technology-Organization-Environment constructs and Technology Acceptance Model beliefs. The study, conducted by Ahmad Dweikat from December 2023 to June 2024, used partial least squares structural equation modeling to validate the instrument and explain up to 74% of variance in behavioral intention.
A directory of health service provider locations registered in Colombia's Special Registry of Health Service Providers (REPS). The dataset includes geographic coordinates, contact details, service names, and operational modalities for each facility. It is published by www.datos.gov.co and was last updated on May 18, 2026.
Quebec's MED-ECHO database provides data on hospital stays in general and specialized care facilities. The table likely contains a cross-tabulation of days spent in hospital by the patient's region of residence and the region where treatment occurred. This data is compiled by hospitals and produced by the Régie de l'assurance Maladie du Québec.
Quebec hospital data compiled by the Régie de l'assurance Maladie du Québec from the MED-ECHO database. The table provides counts of urgent, semi-urgent, non-urgent, and newborn departures aggregated by health region of treatment. It covers short-term physical and psychiatric care and day surgeries across the entire province.
Data compiled by the Régie de l'assurance Maladie du Québec covers hospital stays across Quebec. The table provides the number of departures, total stay, and average stay categorized by chapter of the main diagnosis. It includes short-term physical and psychiatric care and day surgeries from hospitals providing general and specialized care.
MED-ECHO data compiled by the Régie de l'assurance Maladie du Québec covers hospitalizations across Quebec. The table provides, by hospital center, the number of departures, total stay, and average stay for hospitalizations and intensive care stays. The data concerns short-term physical and psychiatric care and day surgeries.