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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,798 datasets
A dataset by Mahboobeh Nouri containing mean and standard deviation values for a disease index (DI) across different treatments. Measurements were taken from day 6 to day 30 post-inoculation. The data is stored in an XLS file and was last updated in May 2026.
5.5 KB of demographic data for cancer patients, authored by Qianqian Sun and shared on figshare under a CC-BY-4.0 license. The dataset was last updated on June 3, 2026.
63 clinical isolates provide percentile values for AZM MIC50 and MIC90. Hadley Jaramillo published this dataset on figshare under a CC-BY-4.0 license. The data was last updated on June 3, 2026.
West Shoa Zone, Central Ethiopia, is the geographic scope of this dataset. It likely contains socio-demographic characteristics of participants in key informant interviews conducted in public hospitals. Tolera Gudissa Damme authored the dataset, which was last updated on June 3, 2026.
Socio-demographic characteristics of participants in focus group discussions conducted in public hospitals of the West Shoa Zone, Central Ethiopia, in 2024. The dataset was authored by Tolera Gudissa Damme and is available as a 5.5 KB XLS file under a CC-BY-4.0 license.
West Shoa Zone, Central Ethiopia, is the geographic scope of this dataset. It contains socio-demographic characteristics of participants in in-depth interviews conducted in public hospitals. Tolera Gudissa Damme authored the dataset, which was last updated on June 3, 2026.
835,987 patients triple-tested for SARS-CoV-2, influenza, and RSV in the US Veterans Health Administration during 2022ā2023. The dataset, authored by Janet M. Grubber, compares frequencies of hypoxemia and death across single and multiple infections using multivariable logistic regression. It was last updated on April 22, III.
159 patient records from a retrospective cohort study at Karamay Central Hospital in Xinjiang, China, from December 2024 to July 2025 form the basis for predicting early medical abortion failure. Rui-Hong Xue authored this research, which identifies the triple product of gestational sac diameters as the most predictive metric among five assessed. The dataset supports a model achieving an area under the curve of 0.78 for failure prediction.
159 patient records from a retrospective cohort study link ultrasound-derived gestational sac measurements to abortion failure risk. The study, authored by Rui-Hong Xue, was published in 2026 and analyzes data from Karamay Central Hospital in Xinjiang, China. It identifies the triple product of gestational sac diameters as the strongest predictor among five assessed metrics.
Anonymized clinical and laboratory data supports a study on serum neutrophil gelatinase-associated lipocalin as an early biomarker for acute kidney injury. The dataset includes demographic characteristics, Apgar scores, serum NGAL values at intervals, creatinine measurements, urine output, and hypoxic-ischaemic encephalopathy staging. Gbenga Akinyosoye published this 21.8 KB Excel file under a CC-BY-4.0 license in May 2026.
A 2.3 MB document file authored by Allison C. Spring and last updated on June 3, 2026. The dataset provides supplementary information on community resilience indicators, likely to inform geospatial health analyses as part of the North Carolina Multi-Stressors Database (NCMSD). The full text is freely accessible under a CC-BY-4.0 license.
A table of community resilience indicators curated for the North Carolina Multi-Stressors Database (NCMSD). The dataset, authored by Allison C. Spring and last updated on June 3, 2026, is a 20.8 KB Excel file available under a CC-BY-4.0 license on figshare.
6,065 patient records from a dual-cohort retrospective study investigate the Red Cell Distribution Width to Albumin Ratio (RAR) as a predictor for 28-day mortality in pulmonary sepsis. The dataset, authored by Tianyi Zhang and shared in 2026, was derived from hospital records and the MIMIC-IV database. It supports the development of a risk prediction model incorporating RAR and eight other independent predictors.
A study of 131 lung cancer patients treated between 2022 and 2025 develops modality-specific NTCP models for severe radiation-induced lymphopenia. The research, authored by Shuting Wang, compares photon (IMRT) and proton (IMPT) radiotherapy cohorts. It includes whole-body blood dose-volume histograms and model performance metrics like AUC and Brier score.
Transcriptome RNA-seq data for High-Grade and Low-Grade Serous Ovarian Carcinoma from GEO datasets GSE27651 and GSE126132. The dataset was created by Zhuna Wu and last updated on 2026-04-14. It includes results of differential expression analysis, immune cell infiltration estimates, and validation data from independent cohorts.
71 differentially expressed immune-related genes were identified from transcriptome RNA-seq data of High-Grade and Low-Grade Serous Ovarian Carcinoma. The dataset, authored by Zhuna Wu and last updated in April 2026, includes analysis from GEO cohorts (GSE27651, GSE126132) and validation in an independent merged cohort of 68 samples (55 HGSOC, 13 LGSOC). It focuses on STAT1 and IL-7 as potential diagnostic biomarkers and their correlation with tumor-infiltrating immune cells.
Proteomic analysis of cerebrospinal fluid from patients with multiple sclerosis and neuromyelitis optica. The dataset contains 3,816 proteins identified using conventional proteomics and a nanoparticle-based enrichment strategy. It was authored by Mengyang Ding and last updated on April 30, 2026.
A proteomic analysis of cerebrospinal fluid from patients with multiple sclerosis and neuromyelitis optica. The dataset, created by Mengyang Ding and last updated in April 2026, contains protein profiles from a deep proteome coverage of 3,816 proteins. It identifies CD74 and CD14 as candidate biomarkers for differentiating the two diseases.
A proteomic dataset of 3,816 proteins from cerebrospinal fluid (CSF) samples of patients with multiple sclerosis (MS) and neuromyelitis optica (NMO). The data was generated by Mengyang Ding using conventional proteomics and a nanoparticle-based enrichment strategy (LAPE), and validated with ELISA in an independent cohort. The dataset was last updated on 2026-04 30.
A proteomic analysis of cerebrospinal fluid from patients with multiple sclerosis and neuromyelitis optica, identifying 3,816 proteins. The dataset was published by Mengyang Ding on figshare in April 2026. It includes validation results for CD74 and CD14 as potential disease-specific biomarkers.