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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,229 datasets
A single-patient case report details a surgical technique for managing early overfiltration after trabeculectomy. The report describes a 58-year-old male patient with primary open-angle glaucoma and includes postoperative intraocular pressure measurements over 12 months. The author is listed as 'figshare admin karger' and the material was last updated on June 4, 2026.
Data from a study on cardiac hypertrophy in male and female C57BL/6J mice with adenine-induced chronic kidney disease following iliac arteriovenous fistula or sham surgery, with or without N-acetylcysteine treatment. The dataset includes ultrasound, echocardiography, and cardiac myocyte mitochondrial respiratory measurements. It was authored by Kyoungrae Kim and last updated on 2026-05-30.
Antonio De Palma's review summarizes mechanisms and management of adverse events from EMA-approved antibody-drug conjugates (ADCs). The work includes operational algorithms and flowcharts for clinical decision-making, based on evidence from pivotal trials, regulatory documents, and literature up to January 2025. The dataset consists of PDF and JPEG files totaling 427.2 KB.
A 2021 survey of 174 nephrologists and 869 patients across eight countries provides data on real-world treatment patterns for immunoglobulin A nephropathy (IgAN). The dataset includes patient demographics, clinical characteristics, treatment lines, and unmet needs, with results reported using descriptive statistics. The supplementary material was authored by a figshare admin for Karger and is licensed under CC-BY-4.0.
A retrospective cross-sectional study of 796 hospitalized patients with type 2 diabetes from January 2020 to January 2025, with an external validation cohort of 394 patients. The dataset, authored by Yue Chen and shared under CC-BY-4.0, evaluates the diagnostic performance of three indices for identifying metabolic dysfunction-associated steatotic liver disease.
1,067 patient records from Shandong First Medical University Cancer Hospital were used to develop a model for classifying pulmonary ground-glass nodules. The integrated model, combining clinical features, radiomics, and deep learning, achieved a validation AUC of 0.871 for malignancy classification. This research dataset, authored by Jian Zhang and shared under CC-BY-4.0, is documented in a 36.7 KB file.
Singapore healthcare professionals from two community hospitals participated in a validation study for the Extended Nordic Musculoskeletal Questionnaire. The dataset likely contains survey responses from 251 nurses and therapists collected between March and August 2024. Pamela E-Wei Gopal authored the study, which is available as a PDF document.
A retrospective cohort study and systematic review investigating the association between antibiotic prophylaxis and urinary tract infections in cancer patients undergoing percutaneous nephrostomy procedures. The study includes data from 734 procedures and a meta-analysis of 19 studies involving 4,606 patients. The research was authored by Jeferson Rodrigo Zanon and last updated in May 2026.
251 survey responses from nurses and therapists in Singapore collected between March and August 2024. The data validates the Extended Nordic Musculoskeletal Questionnaire for assessing work-related musculoskeletal disorders. The study was conducted by Pamela E-Wei Gopal following the COSMIN framework.
Claudia Varrella's systematic review analyzes 38 clinical studies on failure-to-rescue (FTR) in surgical practice published between 2019 and 2024. The review, last updated in May 2026, examines how FTR is used as a quality metric, its operationalization, and the geographic and subspecialty distribution of the evidence base. The dataset is a 906.1 KB DOCX file containing the review's supplementary materials.
Thirteen studies involving 979 patients were included in this systematic review and meta-analysis. The analysis, conducted by Ping Zhao and published on figshare in 2026, found that head-mounted VR devices delivering nature scenes significantly reduced pain scores compared to conventional care. The effect was most pronounced during acute procedural pain, such as postoperative chest drain removal.
A retrospective study of 137 parturients who received labor analgesia, aiming to develop a prediction model for analgesia efficacy. The dataset includes preoperative multidimensional indicators such as demographic data, clinical characteristics, and psychological assessments. The model was developed and validated by Biyao Wang, with results last updated in May 2026.
Thirteen studies involving 979 patients were included in this systematic review and meta-analysis. The work evaluates the impact of virtual reality technology on pain levels and analgesic dosage in adult ICU patients, with literature published from January 2015 to February 2026. The dataset is a supplementary document authored by Ping Zhao, licensed under CC-BY-4.0 and last updated in May 2026.
78.7% accuracy and 76.9% macro-F1 scores were achieved in the 5-shot setting by the proposed Adaptive Gating and Focal Debiasing (AGFD) model on the ODIR-5K dataset. The supplementary file, authored by Stewart Muchuchuti and last updated in May 2026, contains results demonstrating performance improvements, especially for minority disease classes like Glaucoma and Cataract. The 20.5 KB document is shared under a CC-BY-4.0 license on figshare.
78.7% accuracy and 76.9% macro-F1 scores were achieved on the ODIR-5K dataset in a 5-shot setting using a novel Adaptive Gating and Focal Debiasing (AGFD) method. The research by Stewart Muchuchuti, published in 2026, demonstrates improvements over hybrid-attention baselines, particularly for minority disease classes like Glaucoma and Cataract. The dataset likely contains performance metrics and analysis supporting the proposed few-shot learning model for automated retinal disease screening.
Peripheral blood circMAN1A2 levels show preliminary diagnostic potential for gout with an AUC of 0.86. The dataset, authored by Wenyan Guo and last updated in 2026, integrates public transcriptomic mining from GEO dataset GSE178825 with targeted clinical validation. It includes data from 30 patients with acute gout flare, 30 individuals with hyperuricaemia, and 30 healthy controls.
A Spanish study of 399 patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) developed a predictive model for malnutrition and sarcopenia. The model, built using LASSO regression on a 4:1 training-validation split, identified key predictive factors like tumor differentiation and functional difficulties. The dataset, authored by Maria Argente-Pla and last updated in 2026, includes a diagnostic nomogram based on the study results.
A Spanish study of 399 patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) developed a predictive model for malnutrition and sarcopenia. The model, built using a LASSO approach on a 4:1 training-validation split, achieved external accuracies of 65.3% for malnutrition and 71.2% for sarcopenia. The dataset, authored by Maria Argente-Pla and last updated in May 2026, includes key predictive factors like tumor differentiation and patient-reported difficulties.
399 patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) were analyzed to develop a clinical prediction tool. The model, built using LASSO regression on a 4:1 training-validation split, identifies malnutrition and sarcopenia risk factors. This diagnostic nomogram was created by Maria Argente-Pla and published on figshare in May 2026.
8,827 patients with sepsis and atrial fibrillation were analyzed from the MIMIC-IV database, with external validation in eICU-CRD. The retrospective cohort study by Fangchao Chen, last updated in May 2026, investigates the association between early aspirin exposure and mortality. Results show early aspirin exposure was associated with a lower 30-day all-cause mortality hazard ratio of 0.624 in the fully adjusted model.