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primary human coronary artery endothelial cells hcaecs  (PromoCell)


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    PromoCell primary human coronary artery endothelial cells hcaecs
    Primary Human Coronary Artery Endothelial Cells Hcaecs, supplied by PromoCell, used in various techniques. Bioz Stars score: 96/100, based on 222 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/coronary+artery/pm42259138-95-0-11?v=PromoCell
    Average 96 stars, based on 222 article reviews
    primary human coronary artery endothelial cells hcaecs - by Bioz Stars, 2026-06
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    Image Search Results


    Panel A shows an anatomical heart with the three main branches of the coronary tree, where the model tries to predict the location of an occlusion. RCA (right coronary artery) in purple, LM/LAD (left main coronary artery+left anterior descending artery) in red, and LCX (left circumflex artery) in green, where a lighter color corresponds to a coronary artery that is hidden behind the current view of the heart. Adapted from File:Coronary arteries.svg by Patrick J. Lynch (Wikimedia Commons), CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0 . Panel B shows a schematic illustration of the coronary artery segments centered around the aorta. The same color scheme is used as in Panel A , but the color intensity corresponds to how frequent occlusion myocardial infarctions (OMI) were in the given segment. Panel C shows the discriminative performance (C-statistic) when comparing a given class (x-axis) with all other classes in the random or temporal test set. The dashed horizontal line represents a random guess. Different sub-classes of MI are evaluated: with/without occlusion MI (OMI/nOMI), with/without the presence of a ST-segment elevation (STEMI/NSTEMI), and OMI culprit vessel localization (RCA, LM/LAD, or LCX).

    Journal: Nature Communications

    Article Title: A deep learning ECG model for identification and localization of occlusion myocardial infarction

    doi: 10.1038/s41467-026-73023-1

    Figure Lengend Snippet: Panel A shows an anatomical heart with the three main branches of the coronary tree, where the model tries to predict the location of an occlusion. RCA (right coronary artery) in purple, LM/LAD (left main coronary artery+left anterior descending artery) in red, and LCX (left circumflex artery) in green, where a lighter color corresponds to a coronary artery that is hidden behind the current view of the heart. Adapted from File:Coronary arteries.svg by Patrick J. Lynch (Wikimedia Commons), CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0 . Panel B shows a schematic illustration of the coronary artery segments centered around the aorta. The same color scheme is used as in Panel A , but the color intensity corresponds to how frequent occlusion myocardial infarctions (OMI) were in the given segment. Panel C shows the discriminative performance (C-statistic) when comparing a given class (x-axis) with all other classes in the random or temporal test set. The dashed horizontal line represents a random guess. Different sub-classes of MI are evaluated: with/without occlusion MI (OMI/nOMI), with/without the presence of a ST-segment elevation (STEMI/NSTEMI), and OMI culprit vessel localization (RCA, LM/LAD, or LCX).

    Article Snippet: Adapted from File:Coronary arteries.svg by Patrick J. Lynch (Wikimedia Commons), CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0 .

    Techniques: