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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,308 datasets
A national cross-sectional survey of 143 respondents from an NF1 registry characterizes the prevalence and quality-of-life impact of body-focused repetitive behaviors (BFRBs). The dataset includes survey responses reporting BFRB types and Dermatology Life Quality Index (DLQI) scores, analyzed via multivariable logistic regression. It was published on figshare by 'figshare admin karger' and last updated on May 18, 2026.
A pilot study of 28 participants receiving substance use disorder treatment in outpatient or residential settings evaluated a video-observed oral fluid self-collection protocol. The dataset includes scores from validated measures on acceptability, appropriateness, feasibility, and usability of the method. The data was authored by Nicholas L. Bormann and published on figshare in May 2026.
A study protocol document for a randomized controlled trial investigating auricular acupuncture for insomnia in female patients with non-metastatic breast cancer. The document describes the methodology for a trial involving 324 participants across multiple centers, with follow-up assessments up to 16 weeks. It was authored by Lumin Liu and last updated on 2026-05-25.
A 2026 pilot study by Kim-Lea Reese Ryterski analyzed blood samples from 31 melanoma patients (stage IIB–IV). It reports the incidence and concentration of circulating cancer-associated fibroblasts (cCAFs) and circulating tumor cells (CTCs), and their potential prognostic value when combined with lactate dehydrogenase (LDH) or S100B protein levels. The data likely contains cell counts and associated clinical outcomes for these patients.
An automated pipeline combining deep learning and radiomics for detecting non-calcified plaques in the left anterior descending and right coronary arteries. The dataset, shared by Wen Chen under a CC-BY-4.0 license, includes non-contrast calcium score CT images from patients at two medical sites. Radiomics models built from the data demonstrated vessel-level diagnostic performance with AUCs ranging from 0.700 to 0.855.
21 randomized controlled trials involving 17,669 patients compare dual and triple antihypertensive drug regimens. The meta-analysis, authored by Zhuoling Gong and updated in May 2026, found triple therapy reduced systolic blood pressure by an average of 5.98 mmHg and increased blood pressure control rates by 31%. Results are based on a systematic search of PubMed, Embase, Cochrane, and Web of Science up to July 2025.
A research dataset from figshare, authored by Junwei Wu and last updated in May 2026, presents a diagnostic biomarker for brucellosis. It contains data on microRNA expression levels in serum-derived extracellular vesicles from patients and healthy individuals. The dataset was generated using small RNA sequencing and validated with qRT-PCR and logistic regression models.
A multicenter retrospective cohort study of 1,466 adults with acute brain injury from three ICU databases (MIMIC-IV, eICU, and NSICU). The dataset was created by Juan Wang and last updated in May 2026, analyzing associations between CPP trajectory phenotypes, cumulative metrics, and in-hospital mortality.
A systematic review and network meta-analysis of 37 randomized controlled trials involving 2,832 patients, evaluating six Traditional Chinese Medicine non-pharmacological interventions for simple obesity. The analysis, conducted by Yuqi Wang and published on figshare in 2026, compares interventions like moxibustion based on body mass index and waist circumference outcomes. The literature search was performed across multiple databases including PubMed, EMBASE, and Chinese sources like CNKI and Wanfang Data.
Shenzhen Children's Hospital collected data from 287 newborns with severe hyperbilirubinemia between January 2015 and December 2022. The dataset was used to develop and validate a predictive nomogram for acute bilirubin encephalopathy (ABE) using LASSO regression and logistic analysis. Author Qifa Hu published the supporting file on figshare under a CC-BY-4.0 license.
A single clinical case report of a rare presentation of synovial sarcoma in a 61-year-old woman. The report details the diagnostic challenge, including imaging, histology, immunohistochemistry, and comprehensive genomic profiling that identified an SS18–SSX1 fusion gene. The data is a 661.0 KB document authored by Tomohiro Miyazaki and shared under a CC-BY-4.0 license on figshare.
A figshare-hosted case report authored by Tomohiro Miyazaki details a rare presentation of synovial sarcoma in a 61-year-old woman's thigh. The report, last updated in May 2026, describes the tumor's myxoid histology, diagnostic challenges, and molecular confirmation via SS18–SSX1 fusion gene identification. It is a single-case document of 661.4 KB, licensed under CC-BY-4.0.
127 patients with rectal cancer form a primary cohort for validating a deep learning prediction algorithm. The fusion model combining MRI-based algorithm predictions with clinical factors achieved an AUC of 0.873. Peng Zheng authored this retrospective validation study, last updated in May 2026.
A clinical dataset used to develop interpretable machine learning models for predicting in-hospital major lower-extremity amputation risk in diabetic foot ulcer patients. The models were developed on a retrospective cohort from 2019–2020 and temporally validated on a later cohort from 2024. The dataset likely contains admission variables including comorbidities, limb/ulcer assessments, and laboratory tests.
Shengjie Xiong's dataset, last updated in May 2026, contains retrospective clinical data from 487 patients who underwent primary anterior cruciate ligament (ACL) reconstruction. It includes 30 predictor variables spanning demographic, MRI, gait analysis, isokinetic strength, and psychological domains collected at a 6-month postoperative follow-up. The data was used to develop a multi-domain machine learning model predicting secondary ACL injury risk, with 64 patients (13.1%) experiencing a secondary injury.
487 patients who underwent ACL reconstruction were assessed across five domains to predict secondary injury risk. The model, achieving an AUC of 0.739, identified psychological factors like kinesiophobia and depressive symptoms as the most influential predictors. This retrospective cohort study by Shengjie Xiong was last updated in May 2026.
A single-center retrospective cohort analysis of 828 patients with intracranial aneurysms who underwent endovascular treatment at Wenzhou Central Hospital between January 2018 and January 2024. The dataset includes 484 unruptured and 344 ruptured aneurysms, examining associations between metabolic syndrome (MetS) and aneurysm rupture status. It was created by Zisheng Liu and last updated in May 2026.
335 patients who underwent MRI and endovascular thrombectomy for anterior circulation large vessel occlusion were analyzed in a retrospective, single-center study. The research derived a point-based score (ICAS-M) to discriminate intracranial atherosclerosis-related occlusion, achieving an AUC of 0.940. Yohei Tateishi authored this study, which was last updated on 2026-05-22.
Yohei Tateishi created a retrospective study of 335 patients who underwent MRI and endovascular thrombectomy for anterior circulation large vessel occlusion. The dataset likely contains clinical variables and MRI markers used to derive a point-based score (ICAS-M) for predicting intracranial atherosclerosis-related occlusion, with 44 (13%) confirmed cases. The data was last updated on 2026-05-22.
A machine learning model developed and validated using clinical data from 2,327 patients across two Chinese hospitals. The model uses nine routinely available clinical parameters to diagnose angiographically confirmed coronary heart disease. The work by Chunxia Deng was last updated in May 2026 and includes a web-based calculator for risk prediction.