Before launching a rocket, scientists use a digital twin for test runs to optimize performance.<\/p>\n\n\n\n
For researchers trying to develop new drugs and therapeutics, there\u2019s no computer representation of the immune system \u2013 even though it\u2019s one of the human body\u2019s most complex \u201cmachines.\u201d<\/p>\n\n\n\n
Tomas Helikar, Susan J. Rosowski Associate Professor of Biochemistry, wants to change that. He\u2019s developing a digital twin of the human immune system to better understand immune-related diseases and speed drug development.<\/p>\n\n\n\n
His model could greatly reduce the time and cost of a drug\u2019s journey from the lab to the marketplace, which often takes more than 10 years and roughly $1.3 billion.<\/p>\n\n\n\n
\u201cWith a virtual immune system, you can simulate millions of different conditions, which you can do on a computer much cheaper and faster than you can do in the lab,\u201d Helikar said.<\/p>\n\n\n\n
The immune system\u2019s complexity is challenging. It comprises organs, tissues, antibodies, cells, genes and more that influence the behavior of one another. Interactions happen across different scales: in different body parts, at different points in time and at different levels of organization.<\/p>\n\n\n\n
The digital twin must connect these different scales, a daunting computational and mathematical task. Helikar demonstrated viability by developing a model focused on a single type of immune cell. He\u2019s now working to incorporate more components into the model, which requires fast, efficient and cost-effective algorithms.<\/p>\n\n\n\n
Helikar is collaborating with an international group of computational biologists, immunologists, clinicians, mathematicians and computer scientists. In 2022, he co-authored a paper in Nature Digital Medicine <\/em>outlining a roadmap for success.<\/p>\n\n\n\n The ultimate goal is developing virtual twins of individual immune systems. That would open the door to precision medicine for many conditions including cancer, autoimmune diseases and viral infections like COVID-19.<\/p>\n\n\n\n Helikar\u2019s inspiration is his 8-year-old son, who received a lung transplant as an infant. His immunosuppression drugs prevent organ rejection but hamper his immune system\u2019s ability to fight other infections. His son\u2019s experiences fuel Helikar\u2019s research.<\/p>\n\n\n\n \u201cAs long as there\u2019s a possibility that this can be done, if it can help my son, that\u2019s my mission.\u201d<\/p>\n\n\n\n A $1.8 million grant from the National Institutes of Health funds this project.<\/p>\n","protected":false},"excerpt":{"rendered":" Before launching a rocket, scientists use a digital twin for test runs to optimize performance. For researchers trying to develop new drugs and therapeutics, there\u2019s no computer representation of the immune system \u2013 even though it\u2019s one of the human body\u2019s most complex \u201cmachines.\u201d Tomas Helikar, Susan J. Rosowski Associate Professor of Biochemistry, wants to […]<\/p>\n","protected":false},"author":1,"featured_media":219,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7,1],"tags":[111,112,51,116,115,110,114],"class_list":["post-45","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-features","category-uncategorized","tag-biochemistry","tag-digital-twin","tag-interdisciplinary-research","tag-national-institutes-of-health","tag-precision-medicine","tag-tomas-helikar","tag-virtual-immune-system"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/posts\/45","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":9,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/posts\/45\/revisions"}],"predecessor-version":[{"id":498,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/posts\/45\/revisions\/498"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/media\/219"}],"wp:attachment":[{"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/media?parent=45"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/categories?post=45"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2022\/wp-json\/wp\/v2\/tags?post=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}