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445
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ShareScore release 0.9.0
Dataset results
445 results for “diabetic retinopathy”
N-acetyl-L-cysteine ethyl ester (NACET) induces the transcription factor NRF2 in the retina and prevents its aging and diabetic retinopathy. [IV]
GEO Series GSE299879. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
PDZK1 Protects Against RPE Senescence by Targeting the 14-3-3ε-mTOR Axis to Attenuate Early Diabetic Retinopathy
GEO Series GSE304545. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
BCAT1 activation reprograms branched-chain amino acids (BCAAs) metabolism and epigenetically promotes inflammation in diabetic retinopathy
GEO Series GSE282215. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Mendelian randomization identifies FLCN expression as a mediator of diabetic retinopathy
GEO Series GSE146615. Homo sapiens. 144 samples. Type: Expression profiling by array.
Multi-modal proteomic target discovery and orthogonol confirmation of preclinical diabetic retinopathy drug development biomarkers
GEO Series GSE20886. Rattus norvegicus. 9 samples. Type: Expression profiling by array.
Cellular and Molecular Linkage between Diabetic Nephropathy and Diabetic Retinopathy
GEO Series GSE204880. Homo sapiens; Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Induced Expression of VEGFC, ANGPT, and EFNB2 and Their Receptors Characterizes Neovascularization in Proliferative Diabetic Retinopathy
GEO Series GSE102485. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
The expression of mRNA and lncRNA in peripheral blood mononuclear cells (PBMCs) of diabetes mellitus, diabetic retinopathy (DR), diabetic peripheral neuropathy (DPN) and diabetic nephropathy (DN) pati
GEO Series GSE185011. Homo sapiens. 25 samples. Type: Expression profiling by high throughput sequencing.
Unveiling the Cellular and Molecular Mechanisms of Diabetic Retinopathy with Human Retinal Organoids
GEO Series GSE290024. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Association between lncRNAs in plasma exosomes and diabetic retinopathy
GEO Series GSE212594. Homo sapiens. 10 samples. Type: Non-coding RNA profiling by high throughput sequencing.
In-depth molecular characterization of neovascular membranes suggests a role for hyalocytes-to-myofibroblasts transdifferentiation in proliferative diabetic retinopathy
GEO Series GSE179568. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic Analysis of Endothelial Cells from Fibrovascular Membranes in Proliferative Diabetic Retinopathy
GEO Series GSE94019. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.
Perivascular Progenitor Cells Derived from Human Embryonic Stem Cells Exhibit Functional Characteristics of Pericytes, and Improve the Retinal Vasculature in a Rodent Model of Diabetic Retinopathy
GEO Series GSE77114. Homo sapiens. 9 samples. Type: Expression profiling by array.
Protein O-GlcNAcylation coupled to Hippo signaling drives vascular dysfunction in diabetic retinopathy [9A]
GEO Series GSE266072. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
N-acetyl-L-cysteine ethyl ester (NACET) induces the transcription factor NRF2 in the retina and prevents its aging and diabetic retinopathy. [II]
GEO Series GSE299876. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
m6A sequencing of vitreous bodies of diabetic retinopathy patients
GEO Series GSE263660. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing; Other.
Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy
<p><strong>This data repository contains the OCT images and binary annotations for segmentation of retinal tissue using deep learning. To use, please refer to the Github repository </strong><a href="https://github.com/theislab/DeepRT">https://github.com/theislab/DeepRT</a>.</p> <p> </p> <p><strong>#######</strong></p> <p><strong>Access to large, annotated samples represents a considerable challenge for training accurate deep-learning models in medical imaging. While current leading-edge transfer learning from pre-trained models can help with cases lacking data, it limits design choices, and generally results in the use of unnecessarily large models. We propose a novel, self-supervised training scheme for obtaining high-quality, pre-trained networks from unlabeled, cross-modal medical imaging data, which will allow for creating accurate and efficient models. We demonstrate this by accurately predicting optical coherence tomography (OCT)-based retinal thickness measurements from simple infrared (IR) fundus images. Subsequently, learned representations outperformed advanced classifiers on a separate diabetic retinopathy classification task in a scenario of scarce training data. Our cross-modal, three-staged scheme effectively replaced 26,343 diabetic retinopathy annotations with 1,009 semantic segmentations on OCT and reached the same classification accuracy using only 25% of fundus images, without any drawbacks, since OCT is not required for predictions. We expect this concept will also apply to other multimodal clinical data-imaging, health records, and genomics data, and be applicable to corresponding sample-starved learning problems.</strong></p> <p><strong>#######</strong></p>
Empagliflozin Reduces Progression of Diabetic Retinopathy in Patients With High Risk of Diabetic Macular Edema
ClinicalTrials.gov study NCT02985242. IPD Sharing: NO. Countries: 1. Publications: 0.
Phase III Study of Compound Danshen Dripping Pills to Treat Diabetic Retinopathy
ClinicalTrials.gov study NCT02388984. IPD Sharing: NO. Countries: 1. Publications: 0.
Detecting the Influence of Cataract Surgery on the Development of Diabetic Retinopathy in Patients With Diabetes Mellitus Type 2 With and Without Diabetic Retinopathy Using OCT Angiography
ClinicalTrials.gov study NCT03571139. IPD Sharing: UNDECIDED. Countries: 1. 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.