{"id":2387,"date":"2024-07-03T21:29:27","date_gmt":"2024-07-03T21:29:27","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=2387"},"modified":"2024-10-17T19:17:18","modified_gmt":"2024-10-17T19:17:18","slug":"deep-machine-learning-revolutionizes-assessment-of-heart-aging-and-disease-using-fruit-flies","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/deep-machine-learning-revolutionizes-assessment-of-heart-aging-and-disease-using-fruit-flies\/","title":{"rendered":"Deep Machine Learning Revolutionizes Assessment of Heart Aging and Disease Using Fruit Flies"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A breakthrough from the University of Alabama at Birmingham, which uses deep learning to speed up the evaluation of cardiac health in fruit flies, could pave the way for new insights into human heart disease.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-b0ffac9c wp-block-group-is-layout-flex\"><div style=\"font-size:16px\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">In an impressive leap forward for biomedical research, a team at the University of Alabama at Birmingham (UAB) has employed deep learning technology to transform how scientists study heart aging and disease using fruit flies, known scientifically as Drosophila. This technological advancement can significantly accelerate cardiac research and reduce human error, promising new frontiers in heart disease studies that could eventually benefit human health.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Fruit flies have long served as a reliable model for researching human cardiovascular diseases. However, measuring heart functions such as expansion and contraction traditionally required time-consuming human intervention. Led by Girish Melkani, an associate professor in the UAB Department of Pathology, Division of Molecular and Cellular Pathology, the UAB researchers have developed a method using deep learning and high-speed video microscopy to automate these measurements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cOur machine learning method is not just fast; it minimizes human error because you don\u2019t have to manually mark each heart wall under systolic and diastolic conditions,\u201d Melkani said in a <a href=\"https:\/\/www.uab.edu\/news\/research\/item\/14236-deep-machine-learning-speeds-assessment-of-fruit-fly-heart-aging-and-disease-a-model-for-human-disease\" title=\"\">news release<\/a>. \u201cFurthermore, you can run the analyses of several hundred hearts and look at the analyses when done for all the hearts.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This approach unlocks the potential for more extensive testing on how various environmental and genetic factors influence heart aging and pathology. Potential models for future studies include zebrafish and mice, which, like fruit flies, are invaluable for cardiovascular research.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cAdditionally, our techniques could be adapted for human heart models, providing valuable insights into cardiac health and disease,\u201d Melkani added. \u201cMoreover, the machine learning approach can predict cardiac aging with high accuracy.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The UAB team&#8217;s research tested their model on both aging hearts and a fruit fly model of dilated cardiomyopathy, caused by the knockdown of a critical enzyme, oxoglutarate dehydrogenase. They trained their automated model using 54 hearts and validated it with an additional 177 hearts, successfully recreating expected cardiac aging trends.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Melkani highlighted that their model could be implemented with consumer-grade hardware. The analysis code generated by the team can compute a range of vital cardiac statistics, including diastolic and systolic diameters, fractional shortening, ejection fraction, heart rate and heartbeat arrhythmicity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cTo our knowledge, this innovative platform for deep learning-assisted segmentation is the first of its kind to be applied to standard high-resolution high-speed optical microscopy of Drosophila hearts while also quantifying all relevant parameters,\u201d said Melkani.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This pioneering technique holds the promise of transforming how researchers study heart function in fruit flies and beyond. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;By automating the process and providing detailed cardiac statistics, we pave the way for more accurate, efficient and comprehensive studies of heart function in Drosophila. This method holds tremendous potential \u2014 not only for understanding aging and disease in fruit flies \u2014 but also for translating these insights into human cardiovascular research,&#8221; Melanie added.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <a href=\"https:\/\/www.nature.com\/articles\/s42003-024-06371-7\" title=\"\">study<\/a>, titled \u201cAutomated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning,\u201d was published in Communications Biology. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>In an impressive leap forward for biomedical research, a team at the University of Alabama at Birmingham (UAB) has employed deep learning technology to transform how scientists study heart aging and disease using fruit flies, known scientifically as Drosophila. This technological advancement can significantly accelerate cardiac research and reduce human error, promising new frontiers in [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[25],"tags":[],"class_list":["post-2387","post","type-post","status-publish","format-standard","hentry","category-science"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"In an impressive leap forward for biomedical research, a team at the University of Alabama at Birmingham (UAB) has employed deep learning technology to transform how scientists study heart aging and disease using fruit flies, known scientifically as Drosophila. This technological advancement can significantly accelerate cardiac research and reduce human error, promising new frontiers in&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=2387"}],"version-history":[{"count":4,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2387\/revisions"}],"predecessor-version":[{"id":2396,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/2387\/revisions\/2396"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=2387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=2387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=2387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}