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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
The 2017-18 financial year report outlines the functions and activities of NSW Health. It includes performance and achievements of all local health districts, specialty networks, and other controlled entities. The report is published by the NSW Government and is available in PDF format.
32 ICU staff members from a private general hospital in Hanoi, Vietnam, completed a 46-question survey on Candida auris. The dataset, created by Lê Phan Khánh Huy and last updated in May 2026, includes quantitative survey data and qualitative interview insights. It covers demographic, knowledge, attitude, and practice domains using Likert-type and ranking scales.
A retrospective study of 839 hospitalized pneumonia patients admitted between January 2020 and December 2023. The dataset was used to develop and validate a nomogram integrating inflammatory-nutritional-metabolic composite indices for predicting short-term adverse outcomes. The model was created by Jing Zhao and published on figshare.
A retrospective cohort study by Benfan Yin analyzed 218 consecutive patients who underwent modified TROPIS surgery combined with Parks’ fistulotomy with seton for high anal fistula between May 2022 and May 2024. The dataset likely contains patient-level data used to identify risk factors for a composite postoperative adverse outcome, which occurred in 22.5% of cases. The study identified five independent risk factors, including diabetes mellitus and horseshoe extension, using Firth’s penalized logistic regression.
1,086 breast cancer patient samples from Seoul National University Hospital cohorts were analyzed for ALDH1L1 expression via immunostaining. The dataset includes clinical data on tumor size, grade, lymphatic invasion, and lymph node metastasis, and links expression levels to survival outcomes. It was authored by Han Suk Ryu and last updated on 2026-05-25.
A 2026 study analyzes ALDH1L1 expression in breast cancer using data from Seoul National University Hospital and the METABRIC database. The dataset includes clinical and survival outcomes for over 1,000 invasive ductal carcinoma patients. It was authored by Han Suk Ryu and published on figshare under a CC-BY-4.0 license.
South Korean clinical data from Seoul National University Hospital analyzed ALDH1L1 expression across 1,086 breast cancer cases. The research combined three cohorts, including a tissue microarray of 1,001 invasive ductal carcinoma patients, to assess correlations with tumor aggressiveness and survival. Han Suk Ryu published the findings on figshare in 2026 under a CC-BY-4.0 license.
A clinical research dataset from Seoul National University Hospital analyzes ALDH1L1 expression across 1,086 breast cancer cases. The study correlates protein expression levels with tumor characteristics and patient survival outcomes, particularly in hormone receptor-positive subtypes. Author Han Suk Ryu published the findings on figshare under a CC-BY-4.0 license.
A 2026 clinical study by Jun Ma evaluating a non-sputum tuberculosis diagnostic method. The dataset includes results from 130 patients with suspected pulmonary tuberculosis, assessing the sensitivity and specificity of a dual-gene qPCR assay on salivary exosomal DNA. It is hosted on figshare under a CC-BY-4.0 license.
130 patients with suspected pulmonary tuberculosis were enrolled to evaluate a novel non-sputum diagnostic method. The ExoNA-based saliva assay reduced turnaround time from 16 hours to 3 hours and achieved a limit of detection of 10 CFU/mL. This dataset, authored by Jun Ma and last updated in June 2026, contains the results of this molecular diagnosis study.
270 patient records from a retrospective cohort study at the First Hospital of Shanxi Medical University between January 2018 and December 2024. The dataset was used to develop and validate a multidimensional nomogram predicting postoperative sepsis, ICU admission, and complications in small bowel obstruction patients. It was authored by Yanan Shi and last updated on June 1, 2026.
A pilot study from October 2020 to December 2023 developed an AI model using clinical data from 67 pancreatic cancer patients discussed in multidisciplinary tumor boards. The model's recommendations were compared against expert decisions for 15 independent patients from 2024, showing an 80% concordance rate. Author Samet Yigman published the findings under a CC-BY-4.0 license.
A 5-year prospective observational cohort study of 1,732 people with chronic kidney disease (CKD) category G3, investigating associations between body composition biomarkers and clinical outcomes. The dataset, published on figshare under CC-BY-4.0, includes data on mortality, cardiovascular events, and CKD progression linked to Creatinine Muscle Index and waist-hip ratio. The supplementary material was last updated in June 2026.
Northwest China dentists were surveyed on antibiotic use during dental implant surgery from April to December 2021. The dataset contains responses from 318 dentists regarding their awareness, prescription habits, and concerns about antibiotic prophylaxis. It was created by Yao Lin and published on figshare under a CC-BY-4.0 license.
35 pregnant women at high-risk for preeclampsia from a hospital in Istanbul, Türkiye, were stratified by BMI to assess aspirin dosing. The dataset includes blood salicylate levels, 11-dehydrothromboxane B2 levels, and uterine artery Doppler measurements taken at two time points during pregnancy. It was authored by Fulya Sultan Karaduman and shared on figshare under a CC-BY-4.0 license.
Nationwide diagnostic data from 446 students with mild intellectual disability (MID) were analyzed using age-normed sten scores from the SB6/18 battery. The study, authored by Bartosz M. Radtke and last updated in May 2026, combined person-centered profiling with ICD-11–guided classification rules to identify dyslexia-consistent reading profiles within MID.
Nationwide diagnostic data from 446 students with mild intellectual disability (MID) were analyzed using age-normed sten scores from the SB6/18 battery. The dataset, authored by Bartosz M. Radtke and last updated in May 2026, contains results from hierarchical clustering and rule-based classification to identify dyslexia-consistent reading profiles.
A retrospective cohort study of 5,125 patients with schizophrenia spectrum disorders treated at Al Amal Psychiatric Hospital in Dubai, United Arab Emirates, between January 2018 and December 2025. The dataset, authored by Syed Ali Bokhari and shared on figshare, examines six domains of antipsychotic prescribing, including first-line selection, treatment persistence, and polypharmacy. The cohort represented 120 nationalities, with a mean age of 33.3 years and 62.7% male.
A retrospective cohort study of 5,125 patients with schizophrenia spectrum disorders treated at Al Amal Psychiatric Hospital in Dubai, United Arab Emirates, between January 2018 and December 2025. The dataset, authored by Syed Ali Bokhari and shared on figshare, examines six domains of antipsychotic prescribing, including first-line selection, treatment persistence, and polypharmacy. The cohort represented 120 nationalities and had a mean age of 33.3 years.
Bartosz M. Radtke's study analyzes diagnostic data from 446 students with mild intellectual disability to identify dyslexia-consistent reading profiles. The data includes age-normed sten scores from the SB6/18 battery for decoding, reading fluency, reading comprehension, phonetic coding, and rapid automatized naming. The dataset was last updated on 2026-05-29.