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463 results for “cell detection”

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ClinicalTrials.gov32/100

The CCANED-CIPHER Study: Early Cancer Detection and Treatment Response Monitoring Using AI-Based Platelet and Immune Cell Transcriptomic Profiling

ClinicalTrials.gov study NCT06717295. IPD Sharing: UNDECIDED. Countries: 3. Publications: 29.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Detection of Early Metastases in Patients With Stage I Non-small Cell Lung Cancer

ClinicalTrials.gov study NCT00003006. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Positron Emission Tomography for Detecting Non-small Cell Lung Cancer

ClinicalTrials.gov study NCT00004138. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

FLT-PET/DW-MRI for Detection of Brain Metastases and Early Therapy Evaluation in Patients With Small Cell Lung Cancer

ClinicalTrials.gov study NCT02995902. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

FAZA PET IMAGING IN DETECTING LYMPH NODE METASTASES IN RENAL CELL CARCINOMA PATIENTS

ClinicalTrials.gov study NCT03955393. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Early Detection of Gastric Cancer Using Plasma Cell-free DNA Fragmentomics

ClinicalTrials.gov study NCT05269056. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Urinary Circulating Tumor DNA Detection in Non-small Cell Lung Cancer: a Prospective Study

ClinicalTrials.gov study NCT02907606. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

The Detection of Circulating Tumor Cells (CTCs) in Patients With Lung Cancer Undergoing Cryosurgery Combined With DC-CIK Treatment

ClinicalTrials.gov study NCT02412384. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Detection and Clinical Significance of Circulating Cancer Cells in Patient Undergoing Radical Cystectomy

ClinicalTrials.gov study NCT02345473. IPD Sharing: Not stated. Countries: 1. Publications: 14.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

High Resolution Microendoscopy for the Detection of Esophageal Squamous Cell Neoplasia

ClinicalTrials.gov study NCT02029937. IPD Sharing: Not stated. Countries: 2. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Detection of Circulating Tumor Cells (CTCs) in Patients With Renal Cancer Undergoing Cryosurgery Combined With DC-CIK Treatment

ClinicalTrials.gov study NCT02450448. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)

<p><strong>Datasets for PILOT</strong></p> <p>Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we are still lacking computational methods for the analysis of single-cell and pathomics data at a patient level for finding patient trajectories associated with diseases. This is challenging as a single-cell/pathomics data is represented by clusters of cells/structures, which cannot be compared with other samples. We propose here patient Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two single single-cell experiments. This allows us to perform unsupervised analysis at the sample level and to uncover trajectories associated with disease progression. Moreover, PILOT provides a statistical approach to delineate non-linear changes in cell populations, gene expression and tissues structures related to the disease trajectories. &nbsp;We evaluate PILOT and competing approaches in &nbsp;disease single-cell genomics and pathomics studies with up to 1.000 patients/donors and millions of cells or structures. Results demonstrate that PILOT detects disease-associated samples, cells, and genes from large and complex single-cell and pathomics data.</p>

openDec 2022View details →
zenodo28/100

Data for paper "Detection of new pioneer transcription factors as cell-type specific nucleosome binders"

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo28/100

Classical Center-Surround Receptive Fields Facilitate Novel Object Detection in Retinal Bipolar Cells

<p>Database and Figures in Igor format</p>

opencc-by-4.0Jul 2022View details →
zenodo28/100

Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer

<p>These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".</p> <p>The datasets include:</p> <ul> <li> <p><code>metadata.tsv.gz</code>&nbsp;Phenotype information of the samples</p> </li> <li> <p><code>mirna_counts.tsv.gz</code>&nbsp;MicroRNA count matrix (for data normalization)</p> </li> <li> <p><code>oncrna_counts.tsv.gz</code>&nbsp;oncRNA count matrix</p> </li> <li> <p><code>orion/</code> Ensemble of Orion models</p> </li> </ul>

opencc-by-nc-nd-4.0Aug 2024View details →
zenodo28/100

scCDC: a computational method for gene-specific contamination detection and correction in single-cell and single-nucleus RNA-seq data

<p><span>In droplet-based single-cell and single-nucleus RNA-seq assays, systematic contamination of ambient RNA molecules biases the quantification of gene expression levels. Existing methods correct the contamination for all genes globally. However, specific evaluation for different contamination levels is lacking. Here, we show that DecontX and CellBender under-correct highly-contaminating genes, while SoupX and scAR over-correct lowly-/non-contaminating genes. Here, we develop scCDC as the first method to detect the contamination-causing genes and only correct expression levels of these genes, some of which are cell-type markers. Compared with existing decontamination methods, scCDC excels in decontaminating highly-contaminating genes while avoiding over-correction of other genes.</span></p>

opencc-by-4.0Jul 2023View details →
zenodo28/100

Video data describing bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells

<p>Video data of&nbsp;loop-mediated isothermal nucleic acid amplification (LAMP) and bioluminescent assay in real time (BART) in microfluidicaly produced droplets. The videos are the data used to generate still images for figures in the source publication &quot;Bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells&quot;.</p> <p>Details of the videos acquisition parameters are as follows:</p> <ul> <li>Video 1: LAMP-BART droplets in tubing - no DNA template control (Figure 2a) (assay duration 600s, frames 1 per 10s, 60 frames, final</li> <li>Video 2 frames per second) Video 2: LAMP-BART droplets in tubing - positive DNA template control (Figure 2b) (assay duration 1800s, frames 1 per 10s, 180 frames, final video 10 frames per second)</li> <li>Video 3: LAMP-BART parked droplets (Figure 3) (assay duration 600s, frames 1 per 10s, 60 frames, final video 3.3 frames per second)</li> <li>Video 4: LAMP-BART DNA gradient in tubing (Figure 4) (assay duration 1800s, frames 1 per 10s, 180 frames, final video 10 frames per second)</li> <li>Video 5: LAMP-BART eDIBs (Figure 5) (assay duration 1570s, frames 1 per 10s, 157 frames, final video 5.2 frames per second)</li> <li>Video 6: One to four core LAMP-BART eDIBs (Figure 6) (assay duration 1200s, frames 1 per 10s, 120 frames, final video 5 frames per second)</li> </ul> <p>When referencing please use:</p> <p>Hardinge, P., Baxani, D. K., McCloy, T., Murray, J. A. H. &amp; Castell, O. K. Bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells. <em>Sci Rep</em> <strong>10</strong>, 21886 (2020).</p>

opencc-by-4.0Dec 2020View details →
ClinicalTrials.gov28/100

Denosumab in Treating Patients With ER and/or PR Positive, HER2 Negative Metastatic Breast Cancer With Bone Metastases and Detectable Circulating Tumor Cells

ClinicalTrials.gov study NCT03070002. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

The Role of NK Cells to Detect Blood Infection in ALL.

ClinicalTrials.gov study NCT06160115. IPD Sharing: Not stated. Countries: 0. Publications: 10.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Study for Detection of Donor-derived Cell-free DNA After Renal Transplantation Using Devysers NGS-based Chimerism Assay.

ClinicalTrials.gov study NCT05226936. IPD Sharing: YES. Countries: 0. Publications: 3.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record