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421
datasets available to search
ShareScore release 0.9.0
Dataset results
421 results for “Disease Diagnosis”
Chewing Gum Test for the Diagnosis of Giant Cell Arteritis (Horton's Disease) - ChewingHort
ClinicalTrials.gov study NCT04010097. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnosis of Parkinson's Disease Using Diffusion Magnetic Resonance Imaging
ClinicalTrials.gov study NCT01715727. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Important Parameters of NIR-II Imaging in the Early Diagnosis of Lower Extremity Peripheral Artery Disease
ClinicalTrials.gov study NCT06565819. IPD Sharing: YES. Countries: 1. Publications: 1.
Diagnosis, Prognosis, and Mechanisms in Panvascular Disease
ClinicalTrials.gov study NCT07151183. IPD Sharing: NO. Countries: 1. Publications: 6.
Diagnosis and Monitoring of Disease Progression Using Deep Neuro Signatures
ClinicalTrials.gov study NCT05153941. IPD Sharing: NO. Countries: 1. Publications: 30.
Application of Multi-probe PET/MR Imaging in the Diagnosis and Evaluation of Alzheimer's Disease
ClinicalTrials.gov study NCT05003830. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
"Adding DNA-test for Screening of HLA-DQ2 and DQ8 to Improve Early Diagnosis of Celiac Disease"
ClinicalTrials.gov study NCT06179121. IPD Sharing: UNDECIDED. Countries: 1. Publications: 21.
Study of Novel PET Tracer Gallium [68Ga]/ Fluorine [18F] -FAPI-04 in the Diagnosis of Cardiovascular Diseases
ClinicalTrials.gov study NCT05867589. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Targeted next-generation sequencing panels in the diagnosis of Charcot Marie Tooth disease
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Data from: From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells
Cell heterogeneity and the inherent complexity due to the interplay of multiple molecular processes within the cell pose difficult challenges for current single-cell biology. We introduce an approach that identifies a disease phenotype from multiparameter single-cell measurements, which is based on the concept of "supercell statistics", a single-cell-based averaging procedure followed by a machine learning classification scheme. We are able to assess the optimal tradeoff between the number of single cells averaged and the number of measurements needed to capture phenotypic differences between healthy and diseased patients, as well as between different diseases that are difficult to diagnose otherwise. We apply our approach to two kinds of single-cell datasets, addressing the diagnosis of a premature aging disorder using images of cell nuclei, as well as the phenotypes of two non-infectious uveitides (the ocular manifestations of Behçet's disease and sarcoidosis) based on multicolor flow cytometry. In the former case, one nuclear shape measurement taken over a group of 30 cells is sufficient to classify samples as healthy or diseased, in agreement with usual laboratory practice. In the latter, our method is able to identify a minimal set of 5 markers that accurately predict Behçet's disease and sarcoidosis. This is the first time that a quantitative phenotypic distinction between these two diseases has been achieved. To obtain this clear phenotypic signature, about one hundred CD8+ T cells need to be measured. Although the molecular markers identified have been reported to be important players in autoimmune disorders, this is the first report pointing out that CD8+ T cells can be used to distinguish two systemic inflammatory diseases. Beyond these specific cases, the approach proposed here is applicable to datasets generated by other kinds of state-of-the-art and forthcoming single-cell technologies, such as multidimensional mass cytometry, single-cell gene expression, and single-cell full genome sequencing techniques.
Data from: Pearls & Oy-sters: challenging diagnosis of Gerstmann-Sträussler-Scheinker disease: clinical and imaging findings
PEARLS >Gerstmann-Straussler-Scheinker disease (GSS) is a rare prion disease characterized by cerebellar ataxia with progressive cognitive decline. >GSS is caused by a mutation within the prion protein gene (PRNP), which commonly exhibits autosomal dominant inheritance pattern. However, a significant portion of previously reported cases showed no family history of the disease, and GSS may also occur through de novo mutation of PRNP. OY-STERS >GSS is clinically heterogeneous and has no characteristic features on imaging. GSS could be considered in patients experiencing unexplained ataxia and subsequent cognitive decline even in those without a family history of the disease.
Data from: Missed opportunities for earlier diagnosis of HIV in patients that presented with advanced HIV disease: a retrospective cohort study
OBJECTIVE: To quantify and characterize missed opportunities for earlier HIV diagnosis in patients diagnosed with advanced HIV. DESIGN: A retrospective observational cohort study. SETTING: A central tertiary medical center in Israel. MEASURES: The proportion of patients with advanced HIV, the proportion of missed opportunities to diagnose them earlier, and the rate of clinical indicator diseases (CIDs) in those patients RESULTS: Between 2010-2015, 356 patients were diagnosed with HIV, 118 (33.4 %) were diagnosed late, 57 (16%) with advanced HIV disease. Old age (OR=1.45 [95% CI 1.16-1.74]) and being heterosexual (OR=2.65 [95% CI 1.21-5.78]) were significant risk factors for being diagnosed late. All patients with advanced disease had at least one CID that did not lead to an HIV test in the 5 years prior to AIDS diagnosis. The median time between CID and AIDS diagnosis was 24 month (IQR 10-30). 60% of CIDs were missed by a general practitioner and 40% by a specialist. CONCLUSIONS: Missed opportunities to early diagnosis of HIV occur both in primary and secondary care. Lack of national guidelines, lack of knowledge regarding CIDs and communication barriers with patients may contribute to HIV late diagnosis. 'Strengths and limitations of this study' This study shows for the first time rate and reasons for missed opportunities to diagnose HIV in a low prevalence country like Israel. This study may shed light on the reasons why primary care physicians or specialists are missing to diagnose HIV earlier. Nonexistence of clear national guidelines for HIV testing and ignoring HIV clinically indicator diseases are major reasons for missed diagnosis of HIV. This study was carried out in one center and may not reflect the picture in the all country; Also, the total number of patients is low and this may limit generability of the study
Pulse Oximetry as a Tool for Neonatal Screening and Early Diagnosis of Critical Congenital Heart Disease
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APPROACH TO THE DIAGNOSIS OF EXANTEMATIC DISEASES OF CHILDHOOD
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PERIANAL CROHN'S DISEASE: A COMPREHENSIVE REVIEW OF DIAGNOSIS, TREATMENT, AND OUTCOMES
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Kappa Index Versus Csf Oligoclonal Bands in Diagnosis of ms and Prediction of Disease Activity
ClinicalTrials.gov study NCT06372977. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Efficacy Evaluation of Dotarem Compared to Gadovist in the Diagnosis of Peripheral Arterial Disease
ClinicalTrials.gov study NCT01026389. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlational Study on the Biomarkers Application to the Prediction and Diagnosis of Cardiovascular Diseases
ClinicalTrials.gov study NCT02179047. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bronchoscopy Versus Imaging in Diagnosis of Airway Diseases in Critically Ill Children
ClinicalTrials.gov study NCT06526780. IPD Sharing: NO. Countries: 0. Publications: 9.
Diagnosis of Inflammatory Bowel Disease
ClinicalTrials.gov study NCT07400211. IPD Sharing: UNDECIDED. Countries: 0. Publications: 16.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.