{"id":152,"date":"2021-05-12T12:07:37","date_gmt":"2021-05-12T12:07:37","guid":{"rendered":"https:\/\/dsrc.haifa.ac.il\/?p=152"},"modified":"2023-09-24T06:33:04","modified_gmt":"2023-09-24T06:33:04","slug":"covid-19-treatment-with-mechanical-ventilation-may-harm-organs-beyond-the-lungs","status":"publish","type":"post","link":"https:\/\/dsrc.haifa.ac.il\/?p=152","title":{"rendered":"COVID-19 treatment with mechanical ventilation may harm organs beyond the lungs"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

COVID-19 treatment with mechanical ventilation may harm organs beyond the lungs\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Judith Somekh, Nir Lotan#, Gur Arieh Yehuda, Ehud Sussman - Department of Information Systems<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

\u00a0Machine Learning
Deep learning
<\/strong>Neural Networks
<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Health<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Seed Grant 2020<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

\"Picture3\"<\/p>

Mechanical ventilators (MV) assist patients with breathing.\u00a0 MVs are also an invasive treatment method that can cause damage to the lungs. COVID-19 can lead to an acute respiratory distress syndrome (ARDS), a condition that in severe cases requires the intervention of a MV.\u00a0<\/p>

In order to evaluate if MVs may cause damage to additional organs besides the lungs, we obtained human gene expression data of six organs: skin, adipose, liver, lung, nerve-tibial and muscle-skeletal. We compared data from patients who were treated with mechanical ventilators and those who were not, for differences in activity levels of genes.\u00a0 We used machine learning methods to identify differences between patients of the two populations; MVs and non-MVs. We built a predictive model to identify if the sample was taken from a MV patient or from a non-MV patient. Our model predicted correctly the type of patient with above 90% accuracy for all tissues. Moreover, we detected higher inflammation and less healthy development in the MV patients\u2019 tissues. This result confirms that when possible, alternatives to MVs should be considered for treatment of patients with major respiratory issues.<\/p>

This research is supported by a seed grant from the\u00a0Data Science Research Center<\/a><\/strong><\/span>\u00a0(DSRC) at the University of Haifa, Israel. For related studies see our lab web-site<\/a><\/strong><\/span>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

\"Picture3\"<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

Mechanical ventilators (MV) assist patients with breathing.\u00a0 MVs are also an invasive treatment method that can cause damage to the lungs. COVID-19 can lead to an acute respiratory distress syndrome (ARDS), a condition that in severe cases requires the intervention of a MV.\u00a0<\/p>

In order to evaluate if MVs may cause damage to additional organs besides the lungs, we obtained human gene expression data of six organs: skin, adipose, liver, lung, nerve-tibial and muscle-skeletal. We compared data from patients who were treated with mechanical ventilators and those who were not, for differences in activity levels of genes.\u00a0 We used machine learning methods to identify differences between patients of the two populations; MVs and non-MVs. We built a predictive model to identify if the sample was taken from a MV patient or from a non-MV patient. Our model predicted correctly the type of patient with above 90% accuracy for all tissues. Moreover, we detected higher inflammation and less healthy development in the MV patients\u2019 tissues. This result confirms that when possible, alternatives to MVs should be considered for treatment of patients with major respiratory issues.<\/p>

This research is supported by a seed grant from the\u00a0Data Science Research Center<\/a><\/strong><\/span>\u00a0(DSRC) at the University of Haifa, Israel. For related studies see our lab web-site<\/a><\/strong><\/span>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Judith Somekh, Nir Lotan, Gur Arieh Yehuda, Ehud Sussman<\/p>\n","protected":false},"author":2,"featured_media":151,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[85,63,71,64,66,23,81],"tags":[56,34,58],"class_list":["post-152","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-85","category-deep-learning","category-health","category-machine-learning","category-neural-networks","category-research-blog","category-seed","tag-deep-learning","tag-machine-learning","tag-neural-networks","entry","has-media"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t