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1,601
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Dataset results
1,601 results for “Prognosis;”
RCT Study of Levosimendan Improving Prognosis of Cardiac Arrest
ClinicalTrials.gov study NCT05956431. IPD Sharing: YES. Countries: 0. Publications: 0.
Molecular Markers of Prognosis in Colorectal Cancer Patients
ClinicalTrials.gov study NCT00220142. IPD Sharing: Not stated. Countries: 1. Publications: 0.
the Real-world Data of Risk Factor and Its Prognosis in PREmature Coronary ARtery DIseAse Study
ClinicalTrials.gov study NCT06695182. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Ph-like acute lymphoblastic leukemia in adults is characterized by IgH-CRFL2 and JAK2 mutations and poor prognosis [HG-U133B]
GEO Series GSE66005. Homo sapiens. 109 samples. Type: Expression profiling by array.
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
GEO Series GSE56313. Homo sapiens. 55 samples. Type: Expression profiling by array.
Collagen XVII/Laminin-5 Activates Epithelia-to-Mesenchymal Transition and is Associated with Poor Prognosis in Lung Cancer
GEO Series GSE80097. Homo sapiens. 2 samples. Type: Expression profiling by array.
p53 wild-type colorectal cancer cells that express a fetal gene signature are associated with metastasis and poor prognosis
GEO Series GSE164161. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower risk myelodysplastic syndromes
GEO Series GSE256396. Homo sapiens. 374 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by genome tiling array.
Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]
GEO Series GSE235315. Homo sapiens. 7 samples. Type: Other.
Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis
GEO Series GSE60185. Homo sapiens. 285 samples. Type: Methylation profiling by genome tiling array.
Methylation of the Proximal, Distal and Core Promoter of CEBPA in 572 Cases with Normal Karyotpye AML and 44 with t(8;21) Disclosed Different Frequencies but no Impact on Prognosis
GEO Series GSE34733. Homo sapiens. 37 samples. Type: Expression profiling by array.
Annexin 2A sustains glioblastoma cell dissemination and proliferation affecting patient prognosis
GEO Series GSE76786. Homo sapiens. 8 samples. Type: Expression profiling by array.
Ph-like acute lymphoblastic leukemia in adults is characterized by IgH-CRFL2 and JAK2 mutations and poor prognosis [HG-U133_Plus_2]
GEO Series GSE66002. Homo sapiens. 98 samples. Type: Expression profiling by array.
Molecular Profiles of Human Breast Cancer and Their Association with Tumor Subtypes and Disease Prognosis (Affymetrix)
GEO Series GSE37751. Homo sapiens. 108 samples. Type: Expression profiling by array.
ACBP: a poor-prognosis biomarker in sepsis and a target for disease mitigation
GEO Series GSE304860. Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing.
Identification of Prognosis-Relevant Subgroups in Patients with Chemoresistant Triple Negative Breast Cancer
GEO Series GSE43502. Homo sapiens. 25 samples. Type: Expression profiling by array.
Hypermethylation and downregulation of UTP6 are associated with stemness properties, chemoradiotherapy resistance and prognosis in rectal cancer: A co-expression network analysis
GEO Series GSE145037. Homo sapiens. 31 samples. Type: Expression profiling by array.
Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale Degradation Fault Modes in an Uncertainty Bayesian Framework
In this work, a framework for the estimation of the fatigue damage propagation in CFRP composites is proposed. Macro-scale phenomena such as stiffness and strength degradation are predicted by connecting micro-scale and macro-scale damage models in a Bayesian filtering framework that also allows incorporating uncertainties in the prediction. The approach is demonstrated on data collected from a run-to-failure tension-tension fatigue experiment measuring the evolution of fatigue damage in CRFP cross-ply laminates. Results are presented for the prediction of expected end of life for a given panel with the associated uncertainty estimates.
Model-Based Diagnosis and Prognosis of a Water Recycling System
A water recycling system (WRS) deployed at NASA Ames Research Center’s Sustainability Base (an energy efficient office building that integrates some novel technologies developed for space applications) will serve as a testbed for long duration testing of next generation spacecraft water recycling systems for future human spaceflight missions. This system cleans graywater (waste water collected from sinks and showers) and recycles it into clean water. Like all engineered systems, the WRS is prone to standard degradation due to regular use, as well as other faults. Diagnostic and prognostic applications will be deployed on the WRS to ensure its safe, efficient, and correct operation. The diagnostic and prognostic results can be used to enable condition-based maintenance to avoid unplanned out- ages, and perhaps extend the useful life of the WRS. Diagnosis involves detecting when a fault occurs, isolating the root cause of the fault, and identifying the extent of damage. Prognosis involves predicting when the system will reach its end of life irrespective of whether an abnormal condition is present or not. In this paper, first, we develop a physics model of both nominal and faulty system behavior of the WRS. Then, we apply an integrated model-based diagnosis and prognosis framework to the simulation model of the WRS for several different fault scenarios to detect, isolate, and identify faults, and predict the end of life in each fault scenario, and present the experimental results.
RSPF-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices
This paper presents a case study where a RSPF-based prognosis framework is applied to estimate the remaining useful life of an energy storage device (Li-Ion battery). A comparison based on prognosis performance metrics indicates that the RSPF-based prognostic approach is more suitable than classic PF methods to represent rare events such as capacity regeneration phenomena between charging periods, in terms of accuracy of the state estimate and steadiness of the RUL estimate. We surmise that the existence of particles in the tails of the state pdf allow the RSPF-based prognostic algorithm to generally provide a more conservative estimate of the RUL of the faulty piece of equipment. We surmise that it also helps to incorporate the probability of rare and costly events in the evolution of the fault condition in time.
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.