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470
datasets available to search
ShareScore release 0.9.0
Dataset results
470 results for “prediction of disease”
A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Microarray Analysis of Human Blood and Intestinal Biopsy Samples from a Phase 2b, Double-blind, Plac
GEO Series GSE100833. Homo sapiens. 1717 samples. Type: Expression profiling by array.
Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [Pneu_S3S24_10Pneu_4HC]
GEO Series GSE35716. Homo sapiens. 28 samples. Type: Expression profiling by array.
Short Noncoding RNAs as predictive biomarkers for the development from Inflammatory Bowel Disease Unclassified to Crohn’s Disease or Ulcerative Colitis
GEO Series GSE228622. Homo sapiens; synthetic construct. 43 samples. Type: Non-coding RNA profiling by array.
Expression data of epithelial brushing from Unbiased BIOmarkers in Prediction of REspiratory Disease outcomes (U-BIOPRED) Project
GEO Series GSE76226. Homo sapiens. 99 samples. Type: Expression profiling by array.
Early quantification of systemic inflammatory (INF) and cardiovascular disease (CVD) proteins predicts long-term treatment response to Tofacitinib and Etanercept (CVD data set)
GEO Series GSE136431. Homo sapiens. 492 samples. Type: Other.
A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therap
GEO Series GSE62667. Homo sapiens. 182 samples. Type: Expression profiling by array.
Epigenomic Tensor Predicts Disease Subtypes and Reveals Constrained Tumor Evolution [ATAC-seq]
GEO Series GSE142330. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [CF_S1S3_5Auto_20CF_10HC]
GEO Series GSE35711. Homo sapiens. 49 samples. Type: Expression profiling by array.
The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse
GEO Series GSE27605. Mus musculus. 8 samples. Type: Expression profiling by array.
Alzheimer disease diagnostic prediction using peripheral BMC gene expression
GEO Series GSE4229. Homo sapiens. 40 samples. Type: Expression profiling by array.
Transcriptomic changes in oligodendrocytes and precursor cells predicts clinical outcomes of Parkinson's disease
GEO Series GSE272760. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease
GEO Series GSE131961. Homo sapiens; synthetic construct. 73 samples. Type: Expression profiling by RT-PCR.
Longitudinal evaluation of a cohort of fascioscapulohumeral disease subjects and evaluation of predictive power of fat fraction and water T2 on fat replacement over time
<p>Introduction</p> <p>The purpose of our work was to longitudinally evaluate disease involvement over time of a cohort of patients with facioscapulohumeral disease (FSHD) using a quantitative lower limb muscle MRI protocol and to explore whether fat fraction (FF) and water T2 (wT2) at baseline were predictive of long-term fat replacement.</p> <p>Methods</p> <p>Thirty FSHD subjects with at least an edematous muscle at MRI were enrolled and scanned at baseline and at<span> </span>6, 12 and 24 months of follow-up. FF and wT2 were calculated in twelve muscles of the thigh and six muscles of the leg. FF and wT2 were analyzed longitudinally and correlated with standard clinical scores. FF and wT2 at baseline were also evaluated as predictors over fat replacement over the same time period. Analyses were run at whole-thigh and leg level compartment and single-muscle level.</p> <p>Results</p> <p>Yearly, FF showed a mean increase of 2% whereas wT2 decreased on average by 1-2 ms. The compartments with intermediate and higher baseline FF showed the greater increase of FF at 24 months; those with higher baseline wT2 showed the greater FF increase at follow-up. FF and wT2 anticorrelated with 6-minute-walking-test and dynamometry and positively correlated with clinical severity score.</p> <p>Conclusions</p> <p>Our results suggest that intermediate and higher FF and higher wT2 at baseline are the strongest predictors of higher fat replacement over time.</p>
Does an Indian Version of the International Classification of Disease Injury Severity Score Predict Mortality in Four Public Hospitals in Urban India?
ClinicalTrials.gov study NCT02716649. IPD Sharing: YES. Countries: 0. Publications: 0.
Prediction of Pulmonary Rehabilitation Outcomes in Patients With Chronic Respiratory Disease Based on Metabolomics: a Prospective Cohort Study
ClinicalTrials.gov study NCT05681364. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Prediction of Amyloid and Mild Cognitive Impairment in Early Stage Alzheimer's Disease From Remote Speech Phenotyping
ClinicalTrials.gov study NCT04928690. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Predicting Outcomes From tDCS Intervention in Parkinson' Disease Using Electroencephalographic Biomarkers and Machine Learning Approach: the PREDICT Study Protocol
ClinicalTrials.gov study NCT04819061. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Predictive Factors of Good Clinical Response to Cholinesterase Inhibitors in Alzheimer Disease and Mixed Dementia
ClinicalTrials.gov study NCT02187276. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Minimal Residual Disease Used in Predicting Therapeutic Efficacy in Metastatic Hormone-sensitive Prostate Cancer
ClinicalTrials.gov study NCT07112612. IPD Sharing: NO. Countries: 0. Publications: 0.
Predicting Disease Progression in Atrial Fibrillation: A Multiparametric Approach for Prognostic Marker Identification and Personalized Patient Management
ClinicalTrials.gov study NCT06647914. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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.