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ShareScore release 0.9.0
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284 results for “cancer research”
OpenAIRE Dataset for SciLake cancer research pilot
<p>This dataset is related to the subset of the OpenAIRE graph relevant to the cancer research pilot. The dataset is built according to the <a href="https://graph.openaire.eu/docs/data-model/">data model</a> of the OpenAIRE Graph dataset. </p>
Joint AstraZeneca-Cancer Research Horizons Functional Genomics Centre's CRISPRn library benchmark screens: gRNA counts and associated metadata
<p>Genome-wide CRISPR sgRNA libraries have emerged as transformative tools to systematically probe gene function. While these libraries have been iterated over time to be more efficient, their large size limits their use in some applications. Here, we benchmarked publicly available genome-wide single-targeting sgRNA libraries and evaluated dual targeting as a strategy for pooled CRISPR loss-of-function screens. We leveraged this data to design two minimal genome-wide human CRISPR-Cas9 libraries that are 50% smaller than other libraries and that preserve specificity and sensitivity, thus enabling broader deployment at scale. </p>
Supplementary material 1: Reviewer Comments from: Widening the circle of care: An arts-based, participatory dialogue with stakeholders on cancer care for First Nations, Inuit, and Métis peoples in Ontario, Canada - Research Ideas and Outcomes 2: e9115 (25 May 2016) https://doi.org/10.3897/rio.2.e9115
The attached file includes the evaluation of the postdoctoral fellowship application from three reviewers. Guidelines for reviewers are available online for more inforamtion (http://www.cihr-irsc.gc.ca/e/33043.html), including the rating scale that is used to score each section of the evaluation.
Research data on health facility-level factors that contribute to delayed diagnosis of cervical cancer
<p>In Kenya, cervical cancer is the 2nd commonly diagnosed type of cancer and the top cause of cancer-related deaths among women. Globally, over 50% of cervical cancer diagnoses are made late, with this proportion rising to 80% in developing countries. Poor Health systems can cause delays in diagnosis, thus, this study focused on determining the health facility-level factors that contribute to delayed diagnosis among cervical cancer patients at the Kenyatta National Hospital (KNH). An analytical cross-sectional mixed method study was adopted to collect data on hospital and referral experiences from 139 cervical cancer patients systematically sampled at KNH, using a semi-structured questionnaire. Associations between the stage at diagnosis and hospital and referral experiences were tested using a logistic regression model at 95% Confidence Interval. 86 (61.9%) were diagnosed at advanced stages III and IV. The potential predictors for delayed diagnosis were; More number of hospital referral times (p-value=0.000), Facing referral challenges (p-value=0.041), Longer time taken for diagnosis appointment (p-value=0.059), and Longer time taken for diagnostic results (p-value=0.007) in the bivariate analysis. More number of hospital referral times (p-value=0.001) and longer time taken for diagnostic results (p-value=0.025), were significantly associated with delayed diagnosis of cervical cancer in the multivariate logistic regression test model. Referral challenges included misdiagnosis, cost of diagnosis, and prolonged diagnosis appointments. The study concluded that the cause of delays in diagnosis for most patients is due to poor health and referral systems and inadequate medical personnel and diagnosis equipment. This study recommends improving referral systems and encouraging partnerships to decentralize diagnostic centers and equipment and train more expertise on cervical cancer.</p>
Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer
<p><strong>Background</strong></p> <p>Understanding the use of invasive procedures (IPs) at the end-of-life (EoL) is important to avoid under- and overtreatment, but epidemiologic analysis is hampered by limited methods to define treatment intent and EoL phase. This study applied novel methods to report IPs at the EoL using a colorectal cancer (CRC) case study.</p> <p><strong>Methods</strong></p> <p>An English population-based cohort of adult patients diagnosed between 2013 and 2015 was used with follow-up to 2018. Procedure intent (curative, non-curative, diagnostic) by cancer site and stage at diagnosis was classified by two surgeons independently. Joinpoint regression modelled weekly rates of IPs for 36 sub-cohorts of patients with incremental survival of 0-36 months. EoL phase was defined by a significant IP rate change before death. Zero-inflated Poisson regression explored associations between IP rates and clinical/sociodemographic variables.</p> <p><strong>Results</strong></p> <p>Of 87,731 patients included, 41,972 (48%) died. 9,492 procedures were classified by intent (interrater agreement 99.8%). Patients received 502,895 IPs (1.39 and 3.36 per person year for survivors and decedents). Joinpoint regression identified significant increases in IPs four weeks before death in those living 3-6 months, and eight weeks before death in those living 7–36 months from diagnosis. 7,908 (18.8%) patients underwent IPs at the EoL, with stoma formation the most common major procedure. Younger age, early-stage disease, men, lower comorbidity, those receiving chemotherapy and living longer from diagnosis were associated with IPs.</p> <p><strong>Conclusions</strong></p> <p>Methods to identify and classify IPs at the EoL were developed and tested within a CRC population. This approach can be now extended and validated to identify potential under- and overtreatment. </p>
A Clinical Research Study to Determine Whether PD 0332991 May Be Effective in Treating Patients With Liver Cancer
ClinicalTrials.gov study NCT01356628. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Translating Research Into Practice: Patient Navigation for Breast Cancer
ClinicalTrials.gov study NCT03514433. IPD Sharing: NO. Countries: 1. Publications: 3.
Comparative Health Research Outcomes of NOvel Surgery in Prostate Cancer
ClinicalTrials.gov study NCT04049747. IPD Sharing: NO. Countries: 1. Publications: 1.
"REDUCE" - A Clinical Research Study To Reduce The Incidence Of Prostate Cancer In Men Who Are At Increased Risk
ClinicalTrials.gov study NCT00056407. IPD Sharing: YES. Countries: 42. Publications: 25.
Geriatric Core Dataset (G-CODE) for Clinical Research in Elderly Cancer Patients
ClinicalTrials.gov study NCT03976531. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Pembrolizumab + Imprime PGG for Metastatic Non-small Cell Lung Cancer After Progression on First-Line Therapy: Big Ten Cancer Research Consortium BTCRC-LUN15-017
ClinicalTrials.gov study NCT03003468. IPD Sharing: NO. Countries: 1. Publications: 1.
DianaWeb: Before and After Study Online Based Participatory Research on Breast Cancer Women
ClinicalTrials.gov study NCT05057598. IPD Sharing: YES. Countries: 1. Publications: 5.
Research data on health facility-level factors that contribute to delayed diagnosis of cervical cancer
Open the record for dataset details and reuse information.
Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer
Open the record for dataset details and reuse information.
Research data supporting article "Recurrent horizontal transfer identifies mitochondrial positive selection in a transmissible cancer"
<p>Gene expression data supporting analyses described in the article "Recurrent horizontal transfer identifies mitochondrial positive selection in a transmissible cancer" (Strakova et al., 2020).</p>
Supplementary material 1 from: Hammond C (2016) Widening the circle of care: An arts-based, participatory dialogue with stakeholders on cancer care for First Nations, Inuit, and Métis peoples in Ontario, Canada. Research Ideas and Outcomes 2: e9115. https://doi.org/10.3897/rio.2.e9115
The attached file includes the evaluation of the postdoctoral fellowship application from three reviewers. Guidelines for reviewers are available online for more inforamtion (http://www.cihr-irsc.gc.ca/e/33043.html), including the rating scale that is used to score each section of the evaluation.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Word folder for images in research paper titled "INSILICO MODELING OF BLADDER CANCER ASSOCIATED PROTEIN"
<p>Bladder cancer is one of several types of cancer arising from the tissues of the urinary bladder. It is a disease in which cells grow abnormally and have the potential to spread to other parts of the body. In the study a<span> 3D model was obtained using multiple templates. </span>The stereo chemical quality of the model was assessed using RAMACHANDRAN PLOT analysis. The attached word file contains the images and plots pertaining to this study.</p> <p> </p> <p> </p>
Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"
<p>Dataset of the study "Open Access and Data Sharing in Cancer Stem Cells research"</p>
Supplementary data for the paper "Future of artificial intelligence applications in cancer care: a 2 global cross-sectional survey of researchers"
<p>Supplementary data for the paper "Future of artificial intelligence applications in cancer care: a 2 global cross-sectional survey of researchers"</p>
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.