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ShareScore release 0.9.0
Dataset results
66 results for “comparative diagnosis”
Bone marrow CD34+/lin- cells of patients with Chronic Phase- Chronic Myeloid Leukemia (CP-CML) after 12 months of nilotinib treatment exhibit a different expression signature compared to the diagnosis
GEO Series GSE279135. Homo sapiens. 168 samples. Type: Expression profiling by array.
Evolution of T-Cell Fitness through AML Progression: Enhanced Bispecific T-Cell Engager-mediated Function of Bone Marrow T Cells at Remission Compared to Initial Diagnosis and Relapse [transcriptome a
GEO Series GSE261000. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Evolution of T-Cell Fitness through AML Progression: Enhanced Bispecific T-Cell Engager-mediated Function of Bone Marrow T Cells at Remission Compared to Initial Diagnosis and Relapse [epigenome analy
GEO Series GSE260999. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Retrospective Comparative Study of Routine Lower Neck CT in the Staging and Diagnosis of Lung Cancer Across Two Cohorts
ClinicalTrials.gov study NCT03522090. IPD Sharing: NO. Countries: 0. Publications: 0.
Towards a Framework for Evaluating and Comparing Diagnosis Algorithms
Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter of a failed unit. Traditional approaches to solving this problem include expert/rule-based, model-based, and data-driven methods. Each approach (and various techniques within each approach) use different representations of the knowledge required to perform the diagnosis. The sensor data is expected to be combined with these internal representations to produce the diagnosis result. In spite of the availability of various diagnosis technologies, there have been only minimal efforts to develop a standardized software framework to run, evaluate, and compare different diagnosis technologies on the same system. This paper presents a framework that defines a standardized representation of the system knowledge, the sensor data, and the form of the diagnosis results – and provides a run-time architecture that can execute diagnosis algorithms, send sensor data to the algorithms at appropriate time steps from a variety of sources (including the actual physical system), and collect resulting diagnoses. We also define a set of metrics that can be used to evaluate and compare the performance of the algorithms, and provide software to calculate the metrics.
"Dataset related to article "Long-term sequential digital dermoscopy of low-risk patients may not improve early diagnosis of melanoma compared to pe-riodical handheld dermoscopy"
<p>This record contains data related to article "Long-term sequential digital dermoscopy of low-risk patients may not improve early diagnosis of melanoma compared to pe-riodical handheld dermoscopy" </p>
ScienceDex guides
Understand access before you commit
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.