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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,996 datasets
1200 Chinese adult patients with doctor-diagnosed knee or back problems were randomized into intervention and control groups for a 12-month study. The dataset contains results from a trial assessing the impact of routine electronic EQ-5D-5L measurement on outcomes including WOMAC, PEI-2, PRS, and SF-6D scores. It was authored by Will H.G. Cheng and last updated on 2026-04-15.
A systematic review by Ya Huang, published on figshare in April 2026, investigating unmet supportive care needs among head and neck cancer survivors. The analysis is based on 12 studies selected from 4,074 identified articles, identifying 7 assessment tools and ranking the prevalence of different need domains. The dataset is a 9.5 KB Excel file summarizing the characteristics of the included studies.
2017/2018 fiscal year data provides age-standardized inpatient separation rates per 100,000 population for seven selected conditions across 132 Local Geographic Areas in Alberta. This indicator dataset from the Alberta Health Community Profiles report measures hospital utilization for conditions including asthma, diabetes, and ischemic heart disease.
2023/2024 fiscal year data provides age-standardized inpatient separation rates per 100,000 population for seven selected health conditions across 132 Local Geographic Areas and Alberta. The dataset measures hospital utilization based on patient separations, including discharge or death, for conditions such as Asthma, Diabetes, and Ischemic Heart Diseases.
Age-standardized inpatient separation rates per 100,000 population for seven selected conditions across 132 local geographic areas in Alberta from 2014/2015 to 2023/2024. The dataset, part of the Alberta Health Primary Health Care - Community Profiles report, enables comparison of hospital service utilization for conditions like Asthma and Diabetes over a ten-year period.
Age-standardized inpatient separation rates per 100,000 population for seven selected chronic conditions across 132 Local Geographic Areas in Alberta. The dataset covers an eight-year period from 2010/2011 to 2017/2018, facilitating comparisons across different geographic areas and time periods.
A German tertiary care hospital's retrospective observational study of 355,135 emergency patients from 2014 to 2023. Ingo Gräff authored this dataset to evaluate the longitudinal accuracy and stability of the Manchester Triage System (MTS). The data includes patient urgency levels, admission predictions, and survival probabilities over a ten-year period.
Experimental data from a study assessing cardiac function and structure in male C57BL/6J mice exposed to low-dose oxygen ions, protons, and gamma rays. The dataset includes results from western blot, histology, and immunohistochemistry assays measuring ejection fraction, fractional shortening, apoptosis, tissue remodeling, and immune cell infiltration markers at intervals up to 9 months post-irradiation. The data was produced by the National Aeronautics and Space Administration and last updated in March 2026.
A single-center retrospective study of 409 patients with decompensated cirrhosis who underwent their first Transjugular Intrahepatic Portosystemic Shunt (TIPS) procedure between 2017 and 2023. Zhimeng Jiang developed and validated a nomogram predicting 1-, 3-, and 5-year overall survival using six independent prognostic factors.
Additional file 2 from a virology study contains a supplementary table of identified C-to-T mutations and genomic positions of ChIP-seq and DRIP-seq peaks. The dataset was authored by Márton Miskei and is hosted on figshare under a CC-BY-4.0 license. It was last updated on 2026-05-19.
A retrospective study of 2,777 Kawasaki disease patients from two centers in China developed a machine learning model to predict medium-to-giant coronary artery aneurysms. The support vector machine model uses seven key clinical features and was validated internally and externally, achieving an AUC of 0.732 and 0.689, respectively. The model is deployed as an R Shiny-based online tool.
Rabab Mohammed's dataset contains immunohistochemistry (IHC) scores for PAPSS1 protein expression in breast cancer FFPE specimens. The data correlates protein expression levels with patient clinicopathological characteristics and outcomes. The dataset is 33 KB and was last updated in May 2026.
A research paper published on figshare in April 2026 details the serum-free production of a novel anti-huCD20(hγ1)-IL2no-alpha immunocytokine for B-cell non-Hodgkin lymphoma. Author Debbie Laura Bergantiños Albernas describes kinetic characterization of CHO cell clones, purification, and functional assays including B-cell depletion and antitumor efficacy in mice. The 406.9 KB PDF contains the full study methods and results.
A 2026 cross-sectional study of 623 patients with non-valvular atrial fibrillation, including 59 with left atrial thrombus, evaluated eight complete blood count-derived inflammatory indices. The dataset contains results from multivariable logistic regression and ROC curve analyses for neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and other biomarkers.
A cross-sectional study of 623 patients with non-valvular atrial fibrillation, including 59 with left atrial thrombus. The dataset evaluates eight complete blood count-derived inflammatory indices for their association with thrombus risk. It was authored by You Zhou and published in 2026.
Akot TU data on private tuberculosis patient notifications from 2018 to 2024. The dataset is an interrupted time-series analysis for evaluating policy or intervention impacts. Umesh Kawalkar authored this 5.5 KB Excel file, last updated in May 2026.
Year-wise counts of tuberculosis patient notifications from public and private healthcare sectors in the Akot Tuberculosis Unit. The dataset, created by Umesh Kawalkar, is a 5.5 KB Excel file covering the period from 2017 to 2025. It was last updated on the figshare platform in May 2026.
Patient characteristics data used for training, internal, and independent validation of a conditional Generative Adversarial Network (cGAN) framework. The dataset is 5.5 KB in size, authored by Changhwan Sung, and last updated on May 14, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Characteristics of patients with gastric cancer in training, validation and test set. The dataset was authored by Chao Zhang and last updated on May 14, 2026. It is a small dataset of 9.5 KB, stored in an XLS file format.
Geospatial data layers implementing the European Floods Directive 2007/60/EC. The dataset likely contains maps of flood hazards and risks across EU member states, produced under the framework established by the directive. The data is provided by the Agenzia per l'Italia Digitale via a WMS service.