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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,877 datasets
Seven cohort studies involving 10,119 adult patients with subarachnoid hemorrhage (SAH), among whom 2,485 died within 90 days. This meta-analysis, published by Lin Huang in 2026, pools odds ratios to evaluate the association between acute glucose variability during hospitalization and short-term mortality. The data was aggregated from longitudinal observational studies sourced from PubMed, Embase, Web of Science, Wanfang, and CNKI.
A pilot study dataset by Tobias Hegelmaier, published on figshare in 2026, integrating inflammatory and neurodegenerative biomarkers to classify multiple sclerosis subtypes. The dataset likely contains measurements from retinal imaging, serum protein levels, and immunophenotyping. It is a small dataset of 17.4 KB, stored in a DOCX file.
A pilot study dataset integrating inflammatory and neurodegenerative biomarkers to classify Multiple Sclerosis subtypes. The data includes retinal imaging, serum protein levels, and immunophenotyping from a study by Tobias Hegelmaier, last updated in May 2026. The dataset is a 735.6 KB supplementary document describing the study's methodology and results.
A study investigating novel non-pathogenic Avibacterium paragallinarum isolates from U.S. layer flocks. The dataset includes results from a two-phase experiment on 26-week-old laying hens, authored by Mostafa M.S. Shelkamy and last updated in May 2026. It contains clinical, gross, and histopathological lesion scores comparing non-pathogenic and pathogenic isolates.
327 patient records from a two-centre cohort study show a 19.8% incidence of acute hypoxemic respiratory failure (AHRF) following neoadjuvant immunochemotherapy for thoracic tumours. The data, collected from December 2017 to June 2023, was analyzed using propensity score matching and multivariable logistic regressions. Author Shenglan Tan published the study on figshare under a CC-BY-4.0 license.
A retrospective analysis of prospectively collected data from 333 adult patients undergoing elective minimally invasive colorectal cancer surgery at a single tertiary center between October 2023 and December 2025. The dataset, authored by Sooah Cho and hosted on Harvard Dataverse, examines the validity of the EQ-5D-5L pain/discomfort dimension for acute postoperative pain assessment against numeric rating scales.
924 medical records of children under five admitted with measles infection at Shone Primary Hospital in Hadiya Zone, Central Ethiopia. The data, collected by Temesgen Kelaye from July to August 2024, includes survival outcomes and predictors like vaccination status and complications.
432 patient records from a 2025-2026 cross-sectional study of Type 2 Diabetes Mellitus in China examine the mediating role of personal mastery and health behaviors on quality of life. Data includes scores from validated scales measuring self-regulatory fatigue, personal mastery, health-promoting behaviors, and diabetes-specific quality of life. The dataset was created by Guiqiu Fang and shared under a CC-BY-4.0 license.
432 Type 2 Diabetes Mellitus patients from three Chinese hospitals were surveyed between July 2025 and February 2026. The dataset includes scores for self-regulatory fatigue, personal mastery, health-promoting behaviors, and diabetes-specific quality of life. Structural equation modeling was used to analyze mediating effects between these psychological and behavioral factors.
178,925 adverse reaction reports for the drug infliximab, analyzed by Xiaoke Zheng in 2026. The data compares 5,144 intravenous and 1,084 subcutaneous administration events, including time-to-onset analysis. It was sourced from the U.S. FDA Adverse Event Reporting System (FAERS) from Q1 2014 to Q1 2025.
Yanmei Lin's research dataset from 2026 contains clinical records for 485 diabetic patients, analyzing associations between serum vitamin D levels and metabolic parameters. The data includes patient quartiles based on vitamin D levels and statistical results from correlation, regression, and restricted cubic spline modeling. The dataset was last updated on 2026-05-19 and is shared under a CC-BY-4.0 license.
684 infection-related pediatric ICU admissions from the PhysioNet Paediatric Intensive Care database were used to develop a risk prediction model. The study compared LASSO, random forest, XGBoost, and a stacked ensemble to predict major adverse events within 72 hours. A random forest model achieved an AUC of 0.724 in an internal test set, using features extracted at admission and a 12-36 hour reassessment window.
684 infection-related pediatric intensive care unit admissions from the PhysioNet Paediatric Intensive Care database form the analytic cohort. The dataset was used to develop and validate a risk prediction model for 72-hour major adverse events, authored by Yuhang Wang and last updated in June 2026. It compares LASSO, random forest, XGBoost, and a stacked ensemble model.
684 infection-related pediatric intensive care unit admissions from the PhysioNet Paediatric Intensive Care database were analyzed to develop a risk prediction model. The study by Yuhang Wang, last updated in June 2026, compared LASSO, random forest, XGBoost, and a stacked ensemble to predict major adverse events within 72 hours. The random forest model achieved an AUC of 0.724 in an internal test set.
The PhysioNet Paediatric Intensive Care database provided 684 infection-related PICU admissions for this analysis. The dataset was created by Yuhang Wang to develop and validate an early risk prediction model for short-term major adverse events. It was last updated on June 4, 2026.
684 infection-related pediatric intensive care unit (PICU) admissions from the PhysioNet Paediatric Intensive Care database were used to develop and validate an early risk prediction model for short-term major adverse events. The model, created by author Yuhang Wang, uses features from admission (0-6 hours) and early reassessment (12-36 hours) windows. The primary outcome was a 72-hour major adverse event, defined as new vasoactive drug use, invasive mechanical ventilation, or death.
684 infection-related pediatric ICU admissions from the PhysioNet database were used to develop a risk prediction model for major adverse events within 72 hours. The study compared LASSO, random forest, XGBoost, and a stacked ensemble, with random forest achieving an AUC of 0.724 in an internal test set. The model framework uses features extracted from admission (0–6 hours) and early reassessment (12–36 hours) windows.
The PhysioNet Paediatric Intensive Care database provided 684 infection-related PICU admissions for this study. Yuhang Wang developed and validated an early risk prediction model for 72-hour major adverse events using admission and reassessment features. The model was last updated on June 4, 2026.
A partitioned survival model with a 35-year simulation horizon compares the cost-effectiveness of ibrutinib-venetoclax versus ibrutinib-placebo for relapsed or refractory mantle cell lymphoma. The dataset, authored by Jing He and last updated on 2026-05-21, contains results from a cost-effectiveness analysis conducted from healthcare perspectives in China and the United States. Primary outcomes likely include total costs, life-years, quality-adjusted life-years, and incremental cost-effectiveness ratios.
16 parents with type 2 diabetes were interviewed about their perceptions of diabetes risk for their minor children. The study, conducted from June to August 2025 at a hospital in Zhenjiang, identified three core themes including cognitive biases and behavioral dilemmas. Author Jingjing Wang published the qualitative analysis on figshare under a CC-BY-4.0 license.