{"id":20442,"date":"2025-03-20T15:30:30","date_gmt":"2025-03-20T15:30:30","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=20442"},"modified":"2025-03-20T15:30:31","modified_gmt":"2025-03-20T15:30:31","slug":"new-ai-tool-to-accelerate-disease-treatments","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-ai-tool-to-accelerate-disease-treatments\/","title":{"rendered":"New AI Tool to Accelerate Disease Treatments"},"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\">Scientists at the University of Virginia School of Medicine unveil an AI tool named LogiRx that accelerates the development of disease treatments by predicting how drugs affect cellular processes.<\/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-0dfbf163 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>University of Virginia School of Medicine scientists have developed an advanced computational tool called LogiRx, designed to accelerate the creation of new disease treatments. Unlike existing artificial intelligence (AI) approaches, LogiRx delves deeper by identifying not only which patient populations can benefit from certain drugs but also how these drugs interact within human cells.<\/p>\n\n\n\n<p>This breakthrough has already demonstrated its potential by pinpointing a promising drug candidate for the prevention of heart failure, a leading cause of death both in the United States and globally. LogiRx can predict how drugs will influence biological processes in the body, thereby aiding researchers in understanding the broader impacts of medications beyond their primary use.<\/p>\n\n\n\n<p>The team discovered that the antidepressant escitalopram (commercially known as Lexapro) could prevent detrimental changes in the heart that lead to heart failure.&nbsp;<\/p>\n\n\n\n<p>&#8220;AI needs to move from detecting patterns to generating understanding,&#8221; UVA\u2019s Jeffrey J. Saucerman said in a press release. &#8220;Our LogiRx tool helps us identify not just which drugs can be repurposed for heart disease but how they work in the heart.&#8221;<\/p>\n\n\n\n<p>Heart failure claims the lives of over 400,000 Americans annually and is characterized by cardiac hypertrophy, an overgrowth of cells that thickens the heart muscle, thus impairing its ability to pump blood effectively. <\/p>\n\n\n\n<p>Saucerman&#8217;s team, led by Taylor Eggertsen, a doctoral student in UVA\u2019s Department of Biomedical Engineering, a collaboration between the School of Medicine and School of Engineering, applied LogiRx to evaluate 62 previously identified drugs for their potential to combat cardiac hypertrophy. The tool successfully predicted beneficial &#8216;off-target&#8217; effects for seven of these drugs, with further confirmation for two via cellular tests.<\/p>\n\n\n\n<p>The efficacy of LogiRx\u2019s predictions was further validated through lab tests and patient data analysis. Remarkably, patients on escitalopram displayed a significantly lower likelihood of developing cardiac hypertrophy.<\/p>\n\n\n\n<p>&#8220;LogiRx identifies unexpected new uses for old drugs that are already shown to be safe in humans,&#8221; added Eggertsen. &#8220;This tool can help researchers explore new patient populations that could benefit from a drug or to avoid unwanted side effects.&#8221;<\/p>\n\n\n\n<p>While additional laboratory research and clinical trials are necessary before escitalopram can be prescribed for heart health, Saucerman is optimistic about LogiRx\u2019s potential to advance medical treatments for various serious conditions.<\/p>\n\n\n\n<p>&#8220;AI is accelerating many aspects of drug development, but it has made less progress in providing the required understanding of how these drugs work in the body,&#8221; Saucerman added. &#8220;LogiRx is a step towards combining AI with existing knowledge of how cells work to find new uses for old drugs.&#8221;<\/p>\n\n\n\n<p>The team\u2019s findings have been <a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2420499122\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the Proceedings of the National Academy of Sciences (PNAS). <\/p>\n\n\n\n<div style=\"height:22px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/newsroom.uvahealth.com\/2025\/03\/18\/artificial-intelligence-tool-to-accelerate-new-treatments\/\" target=\"_blank\" rel=\"noopener\" title=\"\">UVA Health<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>University of Virginia School of Medicine scientists have developed an advanced computational tool called LogiRx, designed to accelerate the creation of new disease treatments. Unlike existing artificial intelligence (AI) approaches, LogiRx delves deeper by identifying not only which patient populations can benefit from certain drugs but also how these drugs interact within human cells. This [&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":[8],"tags":[179],"class_list":["post-20442","post","type-post","status-publish","format-standard","hentry","category-ai","tag-university-of-virginia"],"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":"University of Virginia School of Medicine scientists have developed an advanced computational tool called LogiRx, designed to accelerate the creation of new disease treatments. Unlike existing artificial intelligence (AI) approaches, LogiRx delves deeper by identifying not only which patient populations can benefit from certain drugs but also how these drugs interact within human cells. This&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20442","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=20442"}],"version-history":[{"count":3,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20442\/revisions"}],"predecessor-version":[{"id":20451,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/20442\/revisions\/20451"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=20442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=20442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=20442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}