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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,697 datasets
203 patient records (114 lymphoma, 89 benign) from a retrospective study by Fenglian Jing, last updated in April 2026. The dataset integrates PET/CT radiomics features with clinical biomarkers like procalcitonin and serum amyloid A to build diagnostic models for differentiating lymphoma from benign lymphadenopathy in patients with fever of unknown origin. A combined model demonstrated an area under the curve of 0.958 in the testing cohort.
From January 2021 to December 2023, this dataset contains anonymized medical records for 122 patients diagnosed with heart failure at a tertiary hospital in Quito, Ecuador, located at approximately 2,800 meters. It was created by Vladimir Ullauri and provides demographic, clinical, and outcome variables. The study includes exploratory univariate analyses comparing patients by discharge survival status.
A scoping review of 126 U.S.-based studies from January 2015 to April 2025 synthesizes literature on patient-centered burdens and economic outcomes for veterans, people with intellectual and developmental disabilities, and rural populations. The review, authored by Naomi Buell and shared on figshare, categorizes outcomes into direct medical costs, direct non-medical costs, indirect impacts, and intangible burdens. It found intangible burdens were the most frequently reported outcome, while patterns varied significantly across the three studied populations.
A dataset from a randomized clinical trial evaluating a culturally adapted, web-based cognitive behavioral therapy program for Spanish-speaking adults with alcohol use disorder. The study involved 51 participants, with outcomes including percentage of days abstinent, alcohol-related consequences, coping strategies, and CBT knowledge measured over an 8-week treatment and 6-month follow-up period. The dataset was authored by Brian D. Kiluk and shared on figshare under a CC-BY-4.0 license.
477 patients with acute ischemic stroke were enrolled to explore associations between the C-reactive protein-albumin-lymphocyte (CALLY) index and clinical outcomes after mechanical thrombectomy. The study, authored by Jin Li and shared on figshare, found the CALLY index was associated with reduced risks of hemorrhagic transformation, malignant cerebral edema, and 90-day unfavorable outcomes. Multivariable logistic analysis and mediation analysis were performed, with results last updated in April 2026.
Shuhei Yoshida's study, last updated April 2026, provides data on serum active interleukin-18 levels in patients with adult-onset Still's disease. The dataset includes measurements from 47 untreated AOSD patients, 42 rheumatoid arthritis patients, 9 familial Mediterranean fever patients, and 26 healthy controls. It correlates active IL-18 with clinical parameters, cytokine profiles, and diagnostic scores.
47 untreated patients with adult-onset Still's disease (AOSD) were studied alongside 42 rheumatoid arthritis patients, 9 familial Mediterranean fever patients, and 26 healthy controls. This dataset, authored by Shu Yoshida and shared under CC-BY-4.0, contains measurements of serum active IL-18 and 69 other cytokines, correlated with clinical parameters like the Pouchot score and HScore. It was last updated on 2026-04-28.
A 2026 study by Shuhei Yoshida presents clinical data from 47 untreated patients with adult-onset Still's disease (AOSD), 42 with rheumatoid arthritis, 9 with familial Mediterranean fever, and 26 healthy controls. The dataset likely contains measurements of serum active IL-18, 69 other cytokines, and clinical parameters like Pouchot score, ferritin, and C-reactive protein. It was published on figshare under a CC-BY-4.0 license.
A prospective cohort study collected data from ICU patients between October 2024 and May 2025 to predict subsyndromal delirium (SSD). The dataset was used to compare seven machine learning algorithms, with XGBoost identified as the best model (AUC=0.84). The study, authored by Ying Li and shared on figshare, identified four key predictive factors for SSD.
Four focus groups with 22 Dutch primary healthcare professionals explored factors affecting unplanned hospital admissions in community-dwelling older adults. The study, authored by Jet H. Klunder and last updated in May 2026, identified risk and protective factors related to patients, professionals, and healthcare organizations. Thematic analysis of transcripts suggests strategies like improving care continuity and advance care planning could reduce admissions.
31 patients with advanced non-small cell lung cancer receiving pembrolizumab monotherapy were followed for two years in a prospective therapeutic drug monitoring study. Serial trough concentration measurements were taken at five timepoints over the first year, with baseline clinicopathologic variables recorded and outcomes assessed. Pembrolizumab levels increased significantly over time, with higher late-treatment concentrations associated with improved clinical outcomes and a greater number of immune-related adverse events.
Five bacterial isolates from patients with suspected Clostridioides difficile infection were characterized. The dataset includes integrated genomic, proteomic, and phenotypic analyses confirming three novel species. It was authored by Daniela Aguilar and last updated on May 7, 2026.
455 patient records from a retrospective cohort study (2015–2024) evaluating the modified Frailty Index-5 (mFI-5) as a predictor of 90-day functional outcomes after endovascular thrombectomy for acute ischemic stroke. The dataset includes primary and secondary outcome measures and was analyzed using multivariable logistic regression. The author is Byrappa Vinay and the data was last updated in April 2026.
From 2018 to 2024, this dataset contains results from a study applying machine learning to predict loss to follow-up among 115,822 people living with HIV in Haiti. The analysis used national electronic medical record data from 167 health facilities, training models with demographic, clinical, and institutional predictors. The study was authored by Jiaqin Wu and shared under a CC-BY-4.0 license.
Jiaqin Wu's study analyzes data from Haiti’s national electronic medical record database, containing 115,822 people living with HIV across 167 health facilities from 2018 to 2024. The research developed machine learning models to forecast individual risk of loss to follow-up using demographic, clinical, and institutional predictors. The dataset was last updated on 2026-04-28.
From 2018 to 2024, this dataset contains analysis for predicting loss to follow-up among 115,822 people living with HIV on antiretroviral therapy across 167 health facilities in Haiti. It was authored by Jiaqin Wu and uses national electronic medical record data to train machine learning models. The study assessed model performance over four quarters using metrics like F2-score and ROC-AUC.
Haiti's national electronic medical record data for 115,822 people living with HIV across 167 health facilities from 2018 to 2024. This dataset was used to train machine learning models, including CatBoost, to forecast individual risk of loss to follow-up. The study by Jiaqin Wu assessed model performance using metrics like F2-score and recall and interpreted key predictors with SHAP values.
A retrospective study of 409 patients with stage IIIB-IV non-small cell lung cancer treated with pembrolizumab, sintilimab, tislelizumab, or camrelizumab between February 2019 and December 2022. The research compares progression-free survival, overall survival, and immune-related adverse events across the four treatments. The dataset was authored by Hanqi Wang and shared under a CC-BY-4.0 license on figshare in April 2026.
A prospective observational study of 60 patients with subacute to chronic stroke admitted to an inpatient rehabilitation program, evaluated at baseline and after a 4-week program. The dataset, authored by Esra Şahingöz Bakırcı and last updated in 2026, likely contains clinical, functional, cognitive, and biochemical parameters, including nutritional status assessed via MNA-SF and abdominal muscle thickness measured by ultrasonography.
A meta-analysis of 12 case-control studies from database inception to May 1, 2025, comparing oxidative stress markers in patients with oral leukoplakia versus healthy controls. The dataset, authored by Xueru Chen and last updated in April 2026, contains pooled results for five pro-oxidant and antioxidant markers, including malondialdehyde, glutathione, superoxide dismutase, glutathione peroxidase, and catalase.