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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,060 datasets
A clinical study dataset investigating the correlation between sarcopenia and Major Adverse Cardiac Events (MACE) in elderly patients on maintenance peritoneal dialysis. The dataset is provided as a 64.1 KB XLSX file by author Jin-Tao ZHANG and was last updated in May 2026. Its specific row count is unknown, indicating a likely small-scale, focused clinical investigation.
A 2025 meta-analysis by Likun Yang pooled results from four clinical studies involving 182 patients to evaluate the efficacy and safety of cadonilimab combined with chemotherapy for gastric or gastroesophageal junction adenocarcinoma. The analysis reports pooled objective response rate, disease control rate, progression-free survival, and adverse event incidence. The dataset is a structured summary of the meta-analysis results.
A single-arm meta-analysis of four clinical studies involving 182 patients, evaluating the combination of cadonilimab and chemotherapy for gastric or gastroesophageal junction adenocarcinoma. The study, authored by Likun Yang and published on figshare in March 2026, reports pooled estimates for objective response rate, disease control rate, progression-free survival, and adverse events. The analysis is based on a systematic search of databases up to July 20, 2025.
182 patients from four clinical studies were analyzed in this meta-analysis. The study pools efficacy and safety outcomes for cadonilimab combined with chemotherapy in gastric or gastroesophageal junction adenocarcinoma, authored by Likun Yang and updated in March 2026. It provides pooled estimates for objective response rate, disease control rate, progression-free survival, and adverse events.
From January 11 to April 22, 2025, a cross-sectional survey collected 490 valid responses from COPD patients at three TCM hospitals in Chengdu, China. The dataset includes demographic information and scores for knowledge, attitude, and practice (KAP) regarding TCM therapies. It was authored by Xu Yang and published on figshare under a CC-BY-4.0 license.
74 patient records with body composition and clinicopathological data were analyzed to explore the correlation between subcutaneous adipose tissue metabolic activity and breast cancer prognosis. The study, authored by Jinci Mai and last updated in March 2026, found that AJCC stage and SUVmean_SAT were significant independent prognostic factors. A combined model incorporating both factors showed improved predictive performance over a model using AJCC stage alone.
Data Sheet 2 contains clinical and body composition data for 74 breast cancer patients, collected by Jinci Mai. The dataset includes factors such as AJCC stage and the mean standard uptake value of subcutaneous adipose tissue (SUVmean_SAT) from PET imaging, used to analyze progression-free survival over a median follow-up of 18 months. It was last updated on March 17, 2026.
A study of 188 critically ill pediatric patients with central venous catheters identified risk factors for catheter-related thrombosis. The dataset, derived from clinical records, includes 31 thrombosis cases and was used to build a nomogram prediction model with an AUC of 0.952. It was authored by Xiaolan Zhou and published on figshare.
A study of 188 critically ill children with central venous catheters, where 31 developed catheter-related thrombosis. The dataset supports a nomogram prediction model developed from clinical risk factors, achieving an area under the ROC curve of 0.952. The research was authored by Xiaolan Zhou.
A study of 188 critically ill pediatric patients with central venous catheters identified 31 cases of catheter-related thrombosis. It analyzes risk factors including age, catheter type, parenteral nutrition, D-dimer, and fibrinogen levels to develop a validated nomogram prediction model with an AUC of 0.952. The dataset supports the development of a risk prediction tool for this specific medical complication.
188 critically ill pediatric patients were studied to identify risk factors for central venous catheter-related thrombosis. The dataset supports a nomogram prediction model with an area under the ROC curve of 0.952. It includes clinical variables such as age, catheter type, parenteral nutrition status, D-dimer, and fibrinogen levels.
A clinical study of 188 critically ill children with central venous catheters identified risk factors for catheter-related thrombosis. The dataset includes 31 thrombosis cases and analyzes variables such as age, catheter type, parenteral nutrition, D-dimer, and fibrinogen levels. A nomogram prediction model was developed with an AUC of 0.952.
2020 data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of middle-aged and older adults. The dataset is shared by author L L on figshare under a CC-BY-4.0 license and was last updated in May 2026. The ZIP file is 10.4 MB in size.
Hao GH created a dataset on the health status of riparian forests in arid regions between 2022 and 2024. It includes data on changes in forest area within a 1 km radius over the past 30 years. The dataset was last updated on May 12, 2026.
A 1.3 MB PDF case report authored by Axel Rüfer details a male patient with Polycythemia vera in remission who developed Sweet syndrome. The report describes successful treatment of both conditions with the JAK1/2 inhibitor ruxolitinib, leading to persistent remission and complete resolution. The dataset was last updated on 2026-04-28 and is shared under a CC-BY-4.0 license on figshare.
180 patients with obesity and poorly controlled type 2 diabetes mellitus who underwent bariatric surgery in Malaysia, with longitudinal clinical outcomes tracked for up to 5 years. A matched cohort of 40 patients compares surgical outcomes to conventional management. This retrospective cohort study was authored by Jo Ann Galvan and hosted on Harvard Dataverse.
The dataset describes ELDA, a drug screening platform that generated functional drug response profiles for 25 pediatric acute lymphoblastic leukemia (ALL) samples against a panel of 50 agents. It was created by Samara Sousa Mariano and involves time-lapse microscopy data analyzed to quantify cell viability over 96 hours.
Containing ex vivo drug screening results for 25 pediatric acute lymphoblastic leukemia (ALL) patient samples tested against a panel of 50 clinically relevant and experimental agents. It was generated using the ELDA platform, which employs time-lapse microscopy and image analysis to quantify real-time treatment response. The author is Samara Sousa Mariano.
Alberta's Government provides annual statistics on payments per patient under the Alberta Health Care Insurance Plan, broken down by local geographic area. The data is published in the Alberta Health Care Insurance Statistical Supplement report and is available in Excel format. The dataset was last updated in April 2026.
Chelvyn Immanuel published this 101.5 MB dataset on figshare in April 2026. It contains two preprocessed image datasets for curvilinear structure segmentation. The first is a processed version of the DRIVE retinal vessel dataset, and the second is a synthetically generated 'snake' dataset.