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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,818 datasets
A 47.3 KB Excel dataset explores trabecular bone microarchitecture variation near maxillary sinuses. Ersen Bilgili authored this pilot retrospective within-subject analysis using CBCT scans. The data likely contains measurements linking bone structure to sinus inflammation burden.
A retrospective cohort study from two reproductive centers affiliated with Peking University. It analyzes 24,422 frozen-thawed embryo transfer cycles recorded between January 2015 and May 2018. The research database includes maternal characteristics and measures outcomes such as biochemical pregnancy, clinical pregnancy, miscarriage, and live birth.
9.5 KB Excel file from figshare details clinical and pathologic characteristics of a study cohort and their precancerous lesions. The data, authored by Elisa Micarelli, focuses on mutations targeted by the Nous-209 immunotherapy in Lynch Syndrome carriers. It was last updated on June 1, 2026.
51.5 KB of mass spectrometry data identifying proteins that interact with PKM2 in the nucleus, specifically via K206 lactylation. The dataset was created by Weihao Li and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license.
78.5 KB of clinical data from a colorectal cancer cohort, supporting research on PKM2 lactylation and bevacizumab resistance. The dataset was authored by Weihao Li and last updated on June 1, 2026. It is shared under a CC-BY-4.0 license on figshare.
Supplementary Table S1 provides patient information and treatment plan details for a study on TGFβ signaling inactivation in advanced pancreatic cancer. The dataset was authored by Jungeui Hong and is available under a CC-BY-4.0 license. It was last updated on June 1, 2026.
25.9 KB of survey data examines how architectural features like lighting, visibility, and spatial layout influence perceived safety in psychiatric inpatient settings. The dataset, authored by Mohammed Zidan and shared under a CC-BY-4.0 license, was last updated on May 12, 2026. It was collected from mental health professionals in India using a quantitative cross-sectional design.
Supplementary File 1 contains data on HIV and tuberculosis in Latvia. The dataset was authored by Renate Ranka and last updated on June 1, 2026. It is a small dataset of 133 KB, available under a CC-BY-4.0 license.
A 2026 study by zhuang-yao wei compares hemodialysis access case volume, timing to surgical evaluation, timing to operation, and tunneled dialysis catheter dependence before and after implementing an accelerated multidisciplinary clinic. The dataset is published on figshare under a CC-BY-4.0 license. It is a small dataset, totaling 5.1 KB.
Esquema de Publicación de Información Homil Vigencia 2020-2021 is a metadata catalog describing information assets from the Central Military Hospital for the 2020-2021 period. The dataset is hosted on the Colombian open data portal www.datos.gov.co and was last updated in May 2026. It includes columns for information titles, descriptions, responsible parties, formats, and update frequencies.
Queensland Health's Corporate Services Division contract disclosure reports all awarded contracts valued over $10,000. The data is published by Queensland Health under a CC-BY-4.0 license and was last updated in May 2026. This dataset likely contains details on procurement activities and vendor payments within the state health department.
San Diego, Cesar municipality data on key childhood and adolescent development indicators from 2015 to 2018. The dataset includes metrics on rights, life course moments, and development plan targets, sourced from www.datos.gov.co. It was last updated on 2026-05-18.
Specialized appointment statistics from the Central Military Hospital for the 2018 and 2019 fiscal years. The dataset includes columns such as TIPOLOGÍA, RESULTADO FINAL, and CANTIDAD ANUAL ASIGNACIÓN CITAS, detailing the type, outcome, and annual quantity of assigned appointments. It was published by www.datos.gov.co and last updated in May 2026.
T-cell receptor (TCR) repertoire data from sorted CD8+ tumor-infiltrating lymphocytes (TILs) derived from metastasized lymph nodes of melanoma patients. The dataset compares CD39 PD-1 double-positive (DP) and not double-positive (nDP) TIL populations. Mikhail Goncharov published the dataset on figshare under a CC-BY-4.0 license, with a last update in May 2026.
T-cell receptor (TCR) repertoire data for sorted CD4 tumor-infiltrating lymphocytes derived from metastasized lymph nodes of melanoma patients. The dataset, 98.7 MB in size, was authored by Mikhail Goncharov and last updated on 2026-05-26. It is shared under a CC-BY-4.0 license.
TCR repertoires from bulk tumor-infiltrating lymphocytes of a melanoma patient, expanded under variable cultivation conditions for 9 days. The 23.6 MB dataset was authored by Mikhail Goncharov and last updated on 2026-05-26. Data is shared under a CC-BY-4.0 license on the figshare platform.
T cell receptor repertoire data from bulk tumor-infiltrating lymphocytes of a melanoma patient, expanded under variable cultivation conditions for a 9-day period. The 9.5 MB dataset was authored by Mikhail Goncharov and last updated on May 26, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A 305.3 KB PDF authored by Nora Boumela, last updated on 2026-04-28. It describes the ISPAD (Intelligent System for Pernicious Anemia Diagnosis) framework, an explainable AI-based probabilistic system designed to integrate heterogeneous clinical information for diagnosing pernicious anemia. The document presents a proof-of-concept approach tested on published diagnostically challenging cases.
A 2026 protocol for a systematic review evaluating the performance of AI models in predicting sudden cardiac death and ventricular arrhythmia in patients with non-ischemic cardiomyopathy. The review, authored by Rashi Bilgaiyan, will synthesize global research from medical and technical databases to assess diagnostic accuracy, prognostic performance, and clinical readiness of AI architectures like Convolutional Neural Networks and Random Forests.
Synovial fluid samples from three hospitals in the Netherlands were analyzed using a Sysmex UF-4000 system to quantify bacterial cell counts. The dataset contains anonymized data from 43 patients, including 16 classified with periprosthetic joint infection (PJI), based on EBJIS criteria. Author TJA van Schaik published this pilot study data on figshare in April 2026.