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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
285 Wallerian degeneration patient records from Xinhua Hospital affiliated with Dalian University, with a median age of 63 years. Zhiqi Yu developed and validated a machine learning model to predict poor prognosis based on clinical indicators and imaging data. The dataset was last updated on 2026-05-26.
285 patient records from Xinhua Hospital were used to develop a machine learning model predicting poor prognosis in Wallerian degeneration. The dataset includes clinical indicators like NIHSS score, diabetes, and hypertension, alongside imaging data of brain regions. An AdaBoost model achieved an AUC of 0.880, with SHAP analysis highlighting NIHSS score, atrial fibrillation, and hypertension as key predictors.
A systematic review aggregating evidence from 65 studies published up to December 2024, encompassing 6,482 patients. The review, authored by Vijay Ebenezer and shared under a CC-BY-4.0 license, synthesizes clinical outcomes, complication rates, and quality-of-life impacts following orthognathic surgery for dentofacial deformities.
A clinical dataset from a single-center study of 60 patients undergoing cardiopulmonary bypass surgery. It contains flow cytometry measurements of immune cell populations collected at four perioperative time points, correlated with major adverse postoperative events. The dataset was authored by Zhiyuan Cheng and last updated in May 2026.
A meta-analysis document synthesizing results from 15 randomized controlled trials involving 2018 colorectal cancer patients. The study, authored by Mei-Ying Song and uploaded to figshare in 2026, evaluates the effects of digital health interventions on anxiety, depression, and quality of life. It includes pooled statistical analyses and assessments of evidence certainty using GRADE and ROB 2.0 frameworks.
A retrospective study of 352 children with Acute Lymphoblastic Leukemia (ALL) diagnosed at Hebei Children’s Hospital from January 2020 to June 2025. The dataset was used to develop a nomogram model predicting asparaginase-associated pancreatitis (AAP) based on six clinical and laboratory risk factors. The model, created by Xiangyu Ding, achieved an area under the curve (AUC) of 0.926.
Hospital Episode Statistics (HES) is a national data warehouse containing records of all patients admitted to NHS hospitals in England. The dataset is produced annually by NHS Digital and includes details of hospital stays and NHS-commissioned activity in the independent sector. It was last updated on 2026-07-08.
Torres and Cape Hospital and Health Service awarded contracts valued at $10,000 or more, disclosed in June 2026. The data is provided by Queensland Health under a CC-BY-4.0 license and was last updated on 2026-07-14. This structured disclosure likely contains details on procurement activities for health services in the Torres and Cape region.
824 hypervirulent Klebsiella pneumoniae strains are described in this dataset from author Yi-Ming Zhong, last updated in June 2026. It includes genomic, phenotypic, and clinical metadata supporting a study on virulence-resistance trade-offs. The data comprises strain characteristics, antimicrobial resistance gene profiles, plasmid replicons, and susceptibility results.
A representation of all legally prescribed speed limits for motorized individual traffic based on the Vienna road graph. The data includes speed limits for pedestrian zones and residential roads issued as step speeds according to Austrian road traffic regulations. It is provided by the Cooperation OGD Österreich and Wikimedia Österreich under a CC-BY-4.0 license.
A meta-learning framework for predicting drug combination responses, developed by Congcong Guo and last updated in June 2026. It uses drug structures and gene expression profiles from cell lines and patient ex vivo samples as input. The method was trained on data-rich cell line tasks and fine-tuned for scenarios with limited patient-derived samples.
A meta-learning framework for predicting drug combination responses, developed by Congcong Guo and last updated in June 2026. It uses drug structures and gene expression profiles from cell lines and patient ex vivo samples to train a model that adapts to data-scarce patient scenarios. The method reportedly improved prediction AUROC by 8.5% for data-poor cell lines and 7.4% for patient ex vivo samples compared to conventional transfer learning.
66 healthcare professionals participated in a series of communication workshops from May to July 2025. The dataset contains pre- and post-workshop questionnaires measuring self-confidence, anxiety, burnout, and professional fulfillment. Data includes study-specific and validated instruments like the GHQ-12 and Stanford Professional Fulfillment Index.
Skin thickness measurements from 42 bedridden patients with pressure injuries, comparing injury sites to adjacent normal sites using high-frequency ultrasound (18 MHz). The data was collected by Lin Tang in a prospective comparative study and published on figshare under a CC-BY-4.0 license. The dataset includes results from a mixed-design ANOVA analyzing the effects of tissue type, pressure injury risk status, and body mass index.
A 104-week observational extension of a randomized clinical trial involving 61 youth with recent type 1 diabetes diagnosis. The dataset includes secondary analysis of continuous glucose monitoring (CGM) data, comparing time in range (TIR) and hemoglobin A1c between intensive care and standard care groups. The supplementary material was authored by figshare admin karger and last updated in June 2026.
Quarterly reference file of active GP Practices and their registered patient counts from OpenDataNI. The data includes Local Commissioning Group assignments based on practice postcodes, with two specific practices noted for cross-LCG management. Last updated on July 2, 2026.
Recorded details of visual field ontology, feeding response, and histology of eye and jaw development in larval striped trumpeter (Latris lineata). The dataset includes video images and histology data, managed by the Australian Ocean Data Network. It was last updated on 2026-07-13.
90 participants with symptomatic knee osteoarthritis from Tehran, Iran, were recruited for a randomized controlled trial. The study protocol, authored by Maryam Bagheri Mahmoudi, investigates the effect of pre-exercise expectation framing on pain and functional outcomes. The document was last updated on 2026-05-26.
213 participants from the Program to Improve Mobility in Aging (PRIMA) cohort trial were analyzed to evaluate walking cadence as a digital outcome measure. Change in median walking cadence predicted improvement in usual-pace gait speed with an AUC of 0.90 and identified a threshold of ≥3 steps/min. The data supports research into scalable, digitally measurable alternatives to in-person mobility assessments.
A UK government dataset records gifts, hospitality, and meetings between Department of Health and Social Care Special Advisers and media proprietors, editors, and senior executives. The data is published under the OGL-UK-3.0 license and was last updated on 2026-07-08. It is provided in HTML and PDF formats.