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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,369 datasets
3,257 clinically verified chest X-ray images collected from Dr. M.R. Khan Shishu Hospital & Institute of Child Health in Dhaka, Bangladesh, between 2024 and 2025. The dataset was created by Sabbir Hossain Durjoy and contains images categorized into Normal, Bacterial Pneumonia, and Viral Pneumonia classes. All images were independently annotated by two expert clinicians and underwent a preprocessing pipeline for quality and consistency.
A retrospective case-control study of 295 individuals (206 CHD patients and 89 non-CHD controls) by Zhanxiang Lin, published in 2026. It evaluates the diagnostic value of serum Lp-PLA2, fasting blood glucose, and granulocyte count for coronary heart disease, including age- and sex-specific thresholds.
891 acute ischemic stroke patients from seven comprehensive stroke centers in China between 2017 and 2022 form the basis of this clinical study. The analysis focuses on the hypoperfusion intensity ratio (HIR) and its association with futile reperfusion, mediated by stroke severity measured via the NIHSS score. 35.9% of the included patients experienced futile reperfusion, defined as a poor functional outcome despite successful recanalization.
A single medical case report detailing the diagnosis and treatment of a 12-year-old boy with a pineal mixed germ cell tumor. The report includes clinical history, MRI findings, histopathology results, and treatment outcomes. The document is a 790.2 KB PDF published under a CC-BY-4.0 license.
Data from a study tracking retinal microvascular changes in male Ins2Akita x NG2DSRed mice aged 7–61 weeks, compared to age-matched euglycemic controls. The dataset, authored by Fei Shang and shared on figshare, includes analyses of vessel density, branching, length, tortuosity, pericyte density, and plexus connectivity. It was last updated on 2026-05-28.
Fengjun Zhang published a dataset on figshare in May 2026 containing bioinformatics analysis results for Chronic Obstructive Pulmonary Disease (COPD). The dataset likely contains gene expression data and biomarker information derived from combined datasets GSE37768 and GSE38974. The file is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.
Gene expression data from combined datasets GSE37768 and GSE38974 used to identify biomarkers for Chronic Obstructive Pulmonary Disease (COPD). The dataset was created by Fengjun Zhang and last updated on 2026-05-21. It is a small dataset of 5.5 KB, stored in an XLS file.
Fei Shang's dataset contains statistical analysis results from a study of diabetic retinopathy using the Ins2Akita mouse model. The data includes vessel density, branching, length, tortuosity, pericyte density, and plexus connectivity metrics from 14 hyperglycemic and 13 euglycemic mice aged 7–61 weeks. The dataset was last updated on 2026-05-28.
Data from a study tracking retinal microvascular changes in male Ins2Akita x NG2DSRed mice (n=14) aged 7–61 weeks under sustained hyperglycemia, compared to euglycemic controls (n=13). The dataset, authored by Fei Shang and last updated in May 2026, includes metrics like vessel density, branching, length, tortuosity, pericyte density, and plexus connectivity. It also contains longitudinal imaging data from one mouse tracked for 12 weeks using an adaptive optics scanning light ophthalmoscope.
77.6 KB of lab data from a project determining the criterion validity of two portable, wearable sensors during a range of functional tasks. The dataset, authored by Peter Gill and last updated on 2026-05-28, is shared under a CC-BY-4.0 license on figshare. It addresses limitations of traditional clinical evaluations and self-reported questionnaires for measuring shoulder function.
A clinical and in vitro study investigating fibrinogen-like protein 2 (FGL2) in diabetic nephropathy. Serum FGL2 levels were measured in 105 patients with type 2 diabetes and 110 healthy controls, and HK-2 cells were used for mechanistic experiments. The dataset was authored by Xiao Gang Lu and shared under a CC-BY-4.0 license on figshare.
Longitudinal motor assessment scores for 93 infants tracked from 3 to 12 months of age. The data compares infants with an older sibling with autism (EL-AutSib), infants with tuberous sclerosis complex (EL-TSC), and a low-likelihood comparison group (LL). It was authored by Sereen C. Wong and published on figshare in 2026.
A prospective pilot study of 43 colorectal cancer patients from a hospital in Milan between July 2017 and August 2021. The dataset includes biochemical, anthropometric, and nutritional profiles, along with intratumoral immune phenotypes and tumor-associated microbiota from a subset of 8 patients. It was created by Federica Perillo and shared under a CC-BY-4.0 license.
Federica Perillo's prospective pilot study includes data from 43 colorectal cancer patients who underwent resection surgery between July 2017 and August 2021 at IRCCS Ca′ Granda Ospedale Maggiore Policlinico in Milan. The dataset contains biochemical, anthropometric, and nutritional profiles, intratumoral immune phenotypes, and tumor-associated microbiota analysis for a subset of 8 patients. It was last updated on 2026-05-28 and is shared under a CC-BY-4.0 license.
A prospective pilot study of 43 colorectal cancer patients from July 2017 to August 2021, evaluating preoperative nutritional status, intratumoral immune phenotypes, and tumor-associated microbiota. The dataset, authored by Federica Perillo and shared under a CC-BY-4.0 license, includes biochemical, anthropometric, and nutritional profiles, with microbiota analysis performed on a subset of 8 patients.
Clinical trial data from a multicenter phase II study (jRCTs052200095) evaluating selective conventional transarterial chemoembolization for hepatocellular carcinoma. The dataset includes results for 48 patients enrolled between January 2021 and June 2023, with primary endpoints of complete response rates at 1 and 3 months. It was uploaded by figshare admin karger and is licensed under CC-BY-4.0.
A 50.4 KB protocol outlines a systematic review to quantify false-positive rates of AI tools in Barrett's esophagus surveillance. The document, authored by Rashi Bilgaiyan and last updated in May 2026, aims to map the prevalence and triggers of AI-generated diagnostic hallucinations. It focuses on the CARB algorithm and related computer-aided detection platforms.
A dataset from figshare calculates the lowest detectable mean urine egg count for Schistosoma haematobium with 95% probability. It was authored by Abraham Degarege and last updated on June 1, 2026. The data explores detection limits across different sample volumes, pool sizes, and diagnostic methods.
LiteFeatNet, a lightweight CNN, achieved a testing accuracy of 90.33% on retinal disease classification. The model was trained and evaluated on 1,824 images from the Retinal Fundus Multi-Disease Image Dataset (RFMiD). Author Usman Rafi published these performance metrics on figshare in May 2026.
1824 retinal fundus images from the Retinal Fundus Multi-Disease Image Dataset (RFMiD) were used to evaluate a lightweight CNN model. The dataset includes performance metrics such as accuracy, precision, recall, and F1-score for classifying three distinct retinal conditions, with results from an external validation on RFMiD 2.0. Author Usman Rafi published the data on figshare under a CC-BY-4.0 license.