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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,810 datasets
A cross-sectional survey of pediatric oncology capacity at 25 hospitals in the Kilimanjaro, Arusha, Manyara, and Tanga regions of Tanzania. The study, authored by Lexi Nussbaum and last updated in April 2026, collected data on infrastructure, workforce, medicine availability, and case volumes using a tool adapted from international pediatric oncology standards.
Eleven key differentially expressed genes were identified from seven GEO microarray datasets. The logistic regression model achieved AUCs of 0.846 and 0.863 in training and test sets. This research by Yeqiong Li links IL-17 and NOD-like receptor signaling to megakaryocyte dysfunction in ET.
A clinical scoring system for watery shigellosis, developed by Billy Ogwel. The dataset is available as a 5.5 KB Excel file and was last updated on June 1, 2026. It is shared under a CC-BY-4.0 license.
A dataset modeling factors that affect the predicted diagnostic performance of pooled testing strategies. The dataset was created by Abraham Degarege and is available as a 5.5 KB XLS file on figshare under a CC-BY-4.0 license. It was last updated on June 1, 2026.
A 9.5 KB Excel file comparing existing studies and proposed frameworks for gallstone disease. Prosenjit Das authored this structured review, which was last updated on June 1, 2026. The small file size suggests a focused, synthesized analysis rather than a large primary dataset.
Xiaohui Liu published this dataset on figshare in June 2026. It contains characteristics of X-ray crystal structures for complexes formed between the Estrogen Receptor Alpha Ligand-Binding Domain (ERα-LBD) and several ligands, including E2, 4-OHT, BPA, BPAF, and BPC. The dataset is stored in a 9.5 KB XLS file.
A 9.5 KB Excel file containing subgroup analyses of the association between ln-transformed homocysteine (lnHcy) and serum parathyroid hormone (PTH) levels, categorized by clinical characteristics. The dataset was authored by Jia-hao Wang and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on figshare.
A 61.5 KB Excel file compiled by Deena Fremont, last updated on June 1, 2026. The dataset likely contains a summary of selected studies examining types of eating disorders, associated electrolyte abnormalities, and adverse clinical outcomes. It is shared under a CC-BY-4.0 license on the figshare platform.
Modifying factors of patient and intervention characteristics. The dataset is a 9.5 KB Excel file authored by Rogelio A. Coronado and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on figshare.
A clinical dataset from figshare correlating serum levels of IGF-1 and IGFBP-3 with estrogen receptor (ER), progesterone receptor (PR), and HER-2 status and the stage of breast cancer among patients. The dataset is 9.5 KB in size, authored by Heba Mohammed Arafat, and was last updated on June 1, 2026. The specific geographic scope of the patient population is not detailed in the provided metadata.
A clinical dataset compares serum levels of IGF-1, IGFBP-3, and HER-2 with the stage of breast cancer among patients. The dataset is 5.5 KB in size and was authored by Heba Mohammed Arafat. It was last updated on June 1, 2026.
Heba Mohammed Arafat published a dataset comparing serum levels of IGF-1 and IGFBP-3 with estrogen receptor (ER), progesterone receptor (PR), and combined hormone receptor sensitivity among patients. The dataset is stored in an XLS file sized 9.5 KB and was last updated on June 1, 2026. It is licensed under CC-BY-4.0.
A clinical research dataset from figshare, authored by Heba Mohammed Arafat, exploring associations between the IGFBP-3 A-202C genotype and breast cancer characteristics. The dataset is 9.5 KB in size and was last updated on June 1, 2026. It is shared under a CC-BY-4.0 license.
Clinicopathological features of breast cancer patients are documented in this dataset. The data is provided in an XLS file with a size of 9.5 KB and was last updated on June 1, 2026. It was authored by Heba Mohammed Arafat and is shared under a CC-BY-4.0 license.
A 10-session exergaming protocol involving 14 out-of-hospital patients with Parkinson's disease, conducted by Claudia Ferraris. The dataset likely contains kinematic tracking data and clinical assessment scores, including a novel Normalized Efficiency Index and MDS-UPDRS scores. It was last updated on April 16, 2026.
Sandy Ezepue's dataset on figshare contains inclusion criteria for participants in a study to develop an online stigma reduction education program for healthcare workers (HCWs) working with people who inject drugs (PWID). The dataset is 13.5 KB in size and was last updated on 2026-04-24. The study gathered input from PWID and HCWs through interviews and focus groups to inform the program's content and format.
78 adults with functional constipation participated in a randomized, double-blind, placebo-controlled trial over 4 weeks. The dataset likely contains outcomes measuring weekly spontaneous bowel movements, stool form, and physical functioning scores from the SF-36 survey. The data was authored by Hyung Gyu Park and published on figshare under a CC-BY-4.0 license.
78 adults with functional constipation participated in a randomized, double-blind, placebo-controlled trial over 4 weeks. The dataset contains outcomes measuring changes in bowel movements, stool form, and physical functioning scores. Hyung Gyu Park published the data on figshare in April 2026.
Gene Ontology enrichment analysis results for serum protein biomarkers linked to disease progression in canine cardiorenal syndrome. The dataset includes false discovery rate (FDR), number of associated genes, total pathway genes, fold enrichment, and gene lists. It was authored by Poonavit Pichayapaiboon and last updated in May 2026.
A retrospective cohort of 1046 diabetic patients with acute kidney injury from the First Affiliated Hospital of Guangxi Medical University, collected between April 2010 and April 2025. The dataset, authored by Manqiu Mo and last updated in April 2026, includes baseline clinical data and follow-up outcomes over an average of 101 days. It was used to analyze the association between the atherogenic index of plasma and risks of all-cause death and renal non-recovery.