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2,021 results for “Non-invasive”

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geo16/100

Machine-learning detects non-invasive 5-hydroxymeythylcytosine biomarkers for predicting response to chemotherapy in patients with metastatic colorectal cancer

GEO Series GSE203071. Homo sapiens. 155 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2025View details →
geo16/100

The transcriptional alteration and non-invasive biomarker potential of peripheral blood microRNAs in patients with early-onset pre-eclampsia

GEO Series GSE234611. Homo sapiens. 17 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
geo16/100

Identification of gene expression biomarkers in urine for the non-invasive detection of bladder cancer

GEO Series GSE68020. Homo sapiens. 50 samples. Type: Expression profiling by array.

openGEO-OpenApr 2018View details →
ClinicalTrials.gov16/100

Predictive Clinical Diagnosis of Rheumatoid Arthritis Flares Using Non-Invasive Infra-red Thermal Imaging and an AI/ML Algorithm

ClinicalTrials.gov study NCT05124990. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

To Validate the Specific Patterns of Magnetocardiography, a Non-invasive Non-contact Examination for Patients With Ischemic Heart Disease or Cardiac Arrhythmia

ClinicalTrials.gov study NCT00965614. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

Establish a Non-invasive Prenatal Genotyping and Extraction Technology to Diagnose and Treat the HDN.

ClinicalTrials.gov study NCT02969174. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

Effect of Non-invasive Vagal Nerve Stimulation on Selected Outcomes in Central Obesity

ClinicalTrials.gov study NCT07341971. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov16/100

Safety and Efficacy of Using GlucoSat Technology For Non-Invasive Glucose Measurement

ClinicalTrials.gov study NCT00451334. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

A Non-invasive Approach to the Assessment of Volume Status in Mechanically Ventilated Septic Patients.

ClinicalTrials.gov study NCT00398736. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

Non-Invasive Detection of Bone Marrow Fibrosis in Myeloproliferative Neoplasms Using Cell-Free RNA

GEO Series GSE308705. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2025View details →
geo16/100

CpG Methylation profile of Invasive Pancreatic Cancer Cells compared to Non-invasive

GEO Series GSE38076. Homo sapiens. 8 samples. Type: Methylation profiling by genome tiling array.

openGEO-OpenJun 2013View details →
geo12/100

Non-invasive prenatal paternity testing by analysis of Y-chromosome mini-STR haplotype using next-generation sequencing

GEO Series GSE186434. Homo sapiens. 14 samples. Type: Other.

openGEO-OpenOct 2021View details →
geo12/100

Can non-invasive prenatal screening based on cell-free fetal DNA be utilized to assess chromosome abnormalities in fetuses with increased Nuchal Translucency?

GEO Series GSE230763. Homo sapiens. 129 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.

openGEO-OpenApr 2023View details →
geo12/100

Semen sampling as a non-invasive surrogate for prostate health screening

GEO Series GSE117968. Homo sapiens. 14 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →
zenodo12/100

Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530.

<p>Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530.</p> <p>&nbsp;</p> <p>This is the abstract:</p> <p><strong>Aims: </strong> Brugada syndrome (BrS) represents a major cause of sudden cardiac death in young individuals. The risk stratification to forecast future life-threatening events is still controversial. Non-invasive assessment of late potentials (LPs) has been proposed as a risk stratification tool. However, their nature in BrS is still undetermined. The purpose of this study is to assess the electrophysiological determinants of non-invasive LPs.</p> <p><strong>Methods and results: </strong> Two hundred and fifty consecutive patients with (Group 1, n = 96) and without (Group 2, n = 154) BrS-related symptoms were prospectively enrolled in the registry. Signal-averaged electrocardiogram (SAECG) was performed in all subjects before undergoing epicardial mapping. Group 1 patients exhibited larger arrhythmogenic substrates (AS; 5.8 &plusmn; 2.8 vs. 2.6 &plusmn; 2.1 cm2, P &lt; 0.001) with more delayed potentials (220.4 &plusmn; 46.0 vs. 186.7 &plusmn; 42.3 ms, P &lt; 0.001). Late potentials were present in 82/96 (85.4%) Group 1 and in 31/154 (20.1%) Group 2 individuals (P &lt; 0.001). Patients exhibiting LPs had more frequently a spontaneous Type 1 pattern (30.1% vs. 10.9%, P &lt; 0.001), SCN5A mutation (34.5% vs. 21.2%, P = 0.02), and exhibited a larger AS with longer potentials (5.8 &plusmn; 2.7 vs. 2.2 &plusmn; 1.7 cm2; 231.2 &plusmn; 37.3 vs. 213.8 &plusmn; 39.0 ms; P &lt; 0.001, respectively). Arrhythmogenic substrate dimension was the strongest predictor of the presence of LPs (odds ratio 1.9; P &lt; 0.001). An AS area of at least 3.5 cm2 identified patients with LPs (area under the curve 0.88, 95% confidence interval 0.843-0.931; P &lt; 0.001) with a sensitivity of 86%, specificity 88%, positive predictive value 85%, and negative predictive value 89%.</p> <p><strong>Conclusion: </strong> The results of this study support the role of the epicardial AS as an electrophysiological determinant of non-invasive LPs, which may serve as a tool in the non-invasive assessment of the BrS substrate, as SAECG-LPs could be considered an expression of the abnormal epicardial electrical activity.</p> <p>ClinicalTrials.gov number (<a href="http://clinicaltrials.gov/show/NCT02641431">NCT02641431</a>; <a href="http://clinicaltrials.gov/show/NCT03106701">NCT03106701</a>).</p> <p>&nbsp;</p>

restrictedOct 2020View details →
zenodo12/100

RAW data for Memories are not written in stone: Re-writing fear memories by means of non-invasive brain stimulation and optogenetic manipulations

<p>During fear conditioning, thalamic and cortical af- ferents convey conditioned stimulus (CS) and unconditioned stimulus (US) sensory information into the baso-lateral amyg- dala (BLA), causing a marked potentiation of excitatory syn- apses by long-term synaptic plasticity (LTP). This phenomenon causes indeed an increase of firing activity of a specific class of neurons, called&nbsp;&ldquo;fear neurons&rdquo;. Figure legend A) Fear neurons&nbsp;stimulate central amygdala (CeA) (serial processing) causing a strong increase of the whole amygdala output triggering both motor and auto- nomic fear behaviour by involving periaqueductal gray matter (PAG) and hypothalamus. Connection between cortical pre- limbic (PrL) and BLA neurons is able to stimulate the activity of BLA&nbsp;fear neurons&nbsp;causing a further increase in CeA activity. BLA neurons activity is also potentiated by a backward excitatory pathway originating from CeA. CS-US association induces in CeA neurons similar learning-dependent modifications occur- ring in BLA (parallel processing). From BLA, CS-US information is also redirected to Basal Ganglia which support the instru- mental response. B) During the extinction phase, the input from cortical infralimbic (IL) area suppresses the BLA&nbsp;fear neurons&nbsp;activity by the interplay with intrinsic inhibitory interneurons. Moreover, IL area directly inhibits the CeA trough activation of intercalated cells (ITCs), a scattered group of GABAergic neu- rons mainly located around the BLA area. The local inhibitory circuit further reduces the neural activity of&nbsp;fear neurons&nbsp;of BLA neurons and the subsequent BLA-CeA pathway, thereby sup- pressing the fear response.</p>

restrictedMay 2021View details →
zenodo12/100

Non-invasive estimation of vascular compliance and distensibility in the arm vessels: a novel ultrasound-based protocol

<p>Cappelletti S, Caimi A, Caldiroli A, Baroni I, Votta E, Riboldi SA, Marrocco-Trischitta MM, Redaelli A, Sturla F. Non-invasive estimation of vascular compliance and distensibility in the arm vessels: a novel ultrasound-based protocol. Quant Imaging Med Surg. 2022 Jul;12(7):3515-3527. doi: 10.21037/qims-21-987. PMID: 35782271; PMCID: PMC9246759.</p> <p><strong>Abstract</strong></p> <p><strong>Background:&nbsp;</strong>Performance and durability of arterio-venous grafts depend on their ability to mimic the mechanical behavior of the anastomized blood vessels. To select the most suitable synthetic graft,&nbsp;<em>in vivo</em>&nbsp;evaluation of the radial deformability of peripheral arteries and veins could be crucial; however, a standardized non-invasive strategy is still missing. Herein, we sought to define a novel and user-friendly clinical protocol for&nbsp;<em>in vivo</em>&nbsp;assessment of the arm vessel deformability.</p> <p><strong>Methods:&nbsp;</strong>A dedicated protocol, applied on 30 volunteers, was specifically designed to estimate both compliance and distensibility of the brachial and radial arteries, and of the basilic and cephalic veins. Bi-dimensional ultrasound imaging was used to acquire cross-sectional areas (CSAs) of arteries in clinostatic configuration, and CSAs of veins combining clinostatic and orthostatic configurations. Arterial pulse pressure was measured with a digital sphygmomanometer, while venous hydrostatic pressure was derived from the arm length in orthostatic configuration.</p> <p><strong>Results:&nbsp;</strong>For each participant, all CSAs were successfully extracted from ultrasound images. The basilic vein and the radial artery exhibited the largest (21.5&plusmn;8.9 mm<sup>2</sup>) and the smallest (3.4&plusmn;1.0 mm<sup>2</sup>) CSAs, respectively; CSA measurements were highly repeatable (Bland-Altman bias &lt;10% and Pearson correlation &ge;0.90, for both arteries and veins). In veins, compliance and distensibility were higher than in arteries; compliance was significantly higher (P&lt;0.0001) in the brachial than in the radial artery (3.52&times;10<sup>-4</sup>&nbsp;<em>vs.</em>&nbsp;1.3&times;10<sup>-4</sup>&nbsp;cm<sup>2</sup>/mmHg); it was three times larger in basilic veins than in cephalic veins (17.4&times;10<sup>-4</sup>&nbsp;<em>vs.</em>&nbsp;5.6&times;10<sup>-4</sup>&nbsp;cm<sup>2</sup>/mmHg, P&lt;0.0001).</p> <p><strong>Conclusions:&nbsp;</strong>The proposed non-invasive protocol proved feasible, effective and adequate for daily clinical practice, allowing for the estimation of patient-specific compliance and distensibility of peripheral arteries and veins. If further extended, it may contribute to the fabrication of biohybrid arterio-venous grafts, paving the way towards patient-tailored solutions for vascular access.</p>

restrictedJan 2023View details →
geo12/100

Non-invasive electric magnetic fields: Effects on keratinocyte migration and proliferation

GEO Series GSE11181. Homo sapiens. 2 samples. Type: Expression profiling by array.

openGEO-OpenApr 2008View details →
zenodo8/100

Dog visual perception of faces, objects and phase-scrambled images, measured with non-invasive electroencephalography

<p>This is the dataset used in the publication of Kujala MV, Kauppi J-P, T&ouml;rnqvist&nbsp;H, Helle L, Vainio O, Kujala&nbsp;J, Parkkonen&nbsp;L (2020).&nbsp;Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion. Scientific reports 10, 19846 (2020). https://doi.org/10.1038/s41598-020-76806-8.</p> <p>The dataset is electroencephalography data, measured non-invasively from the surface of the head from eight different dogs; and its supporting files. The data has been measured with 7-9 EEG electrodes; only the data from 7 EEG channels were used in the analysis. During the measurement, dogs were free to move; they were not restrained in any way.&nbsp;Instead, they were trained with positive operant conditioning to lie down and lean their head on a chin rest for short periods of time, during which they were shown still images from a computer screen. The stimuli were shown, in pseudo-randomized order, in eight different presentation scenarios, within 5 separate stimulus blocks per scenario,&nbsp;15&ndash;20 stimuli per block. Between the stimulus blocks, dogs were always rewarded with a treat; this has caused major movement artifacts on the data between the stimulus blocks.&nbsp;Different presentation scenarios were shown in different days and repeated twice. Please refer to the above publication for further details of the experiment.</p> <p>The trigger is the same across all the stimuli; thus, separate scenario stimulus identifier lists were used in determining the stimulus order; please refer to the README.txt file and PresentationScenarios.xlsx files for further details.</p> <p>The dataset also contains anatomical magnetic resonance images of one dog, which was used in the aforementioned publication for source localization.</p> <p>If you have further questions regarding the data or the acquisition, please do not hesitate to contact the authors of the original publication.</p>

restrictedNov 2020View details →
zenodo8/100

Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients

<p>Raw data of the paper: Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients.</p> <p>Aims</p> <p>In heart failure, oxygen uptake and cardiac output measurements at peak and during exercise are important in defining heart failure severity and prognosis. Several cardiopulmonary exercise test-derived parameters have been proposed to estimate stroke volume during exercise, including the oxygen pulse (oxygen uptake/heart rate). Data comparing measured stroke volume and the oxygen pulse or stroke volume estimates from the oxygen pulse at different stages of exercise in a sizeable population of healthy individuals and heart failure patients are lacking.</p> <p>&nbsp;</p> <p>Methods</p> <p>We analysed 1007 subjects, including 500 healthy and 507 heart failure patients, who underwent cardiopulmonary exercise testing with stroke volume determination by the inert gas rebreathing technique. Stroke volume measurements were made at rest, submaximal (&sim;50% of exercise) and peak exercise. At each stage of exercise, stroke volume estimates were obtained considering measured haemoglobin at rest, predicted exercise-induced haemoconcentration and peripheral oxygen extraction according to heart failure severity.</p> <p>&nbsp;</p> <p>Results</p> <p>A strong relationship between oxygen pulse and measured stroke volume was observed in healthy and heart failure subjects at submaximal (R<sup>2</sup>&thinsp;=&amp;thinsp;0.6437 and R<sup>2</sup>&thinsp;=&amp;thinsp;0.6723, respectively), and peak exercise (R<sup>2</sup>&thinsp;=&amp;thinsp;0.6614 and R<sup>2</sup>&thinsp;=&amp;thinsp;0.5662) but not at rest. In healthy and heart failure subjects, agreement between estimated and measured stroke volume was observed at submaximal (&ndash;3&thinsp;&plusmn;&thinsp;37 and &ndash;11<em>&thinsp;&plusmn;&thinsp;</em>72&thinsp;ml, respectively) and peak exercise (1&thinsp;&plusmn;&thinsp;31 and 6&thinsp;&plusmn;&thinsp;29&thinsp;ml, respectively) but not at rest.</p> <p>&nbsp;</p> <p>Conclusion</p> <p>In heart failure patients, stroke volume estimation and oxygen pulse during exercise represent stroke volume, albeit with a relevant individual data dispersion so that both can be used for population studies but cannot be reliably applied to a single subject. Accordingly, whenever needed stroke volume must be measured directly.</p> <p>&nbsp;</p>

restrictedDec 2020View details →

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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

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