Digital twins could lead to more proactive, personalized medicine, researchers say

Building Personalized Digital Twins: Data from multiple scales are needed to build computational representations of biological processes and body systems affected by viral infections. These submodels are integrated and personalized with clinical data from individual patients. Digital twins can then be used to derive predictions about the effectiveness and optimization of diagnostic, prognostic, and therapeutic interventions. Credit: N. CARY / SCIENCE

What if you have twins that doctors can work with to predict your future medical needs and how a particular virus will affect you? Of course, you can’t experiment with real clones, but you can use digital twins to explore different scenarios.

This is a solution proposed by Indiana University researchers to anticipate the future medical needs of individuals and prepare them to respond quickly and effectively to future pandemics.

James Glazier, a professor of intelligent systems engineering at the IU Luddy School of Informatics, Computing and Engineering, along with James Sluka of the IU Biocomplexity Institute and Reinhard Laubenbacher of the University of Florida, uses digital twins for human health and illness. They say that digital twins applied to the human body can lead to better health care results and faster responses to new illnesses.

“The digital twin combines a computer model that predicts how the state of the system will evolve with real-time measurements of the individual,” said Glazier, whose perspective was published in the journal. Science.. “At this point, medicine is mostly responsive. You should see a doctor when you are ill or after a major problem. Ideally, you should predict when the problem will occur. The problem is. We will do small interventions to prevent it from becoming serious. “

Glazier and his colleagues suggest that digital twins may help predict viral infections and immune responses. This allows for the rapid design of interventions to make people healthier. With digital twins, physicians and healthcare professionals can perform controlled and repeatable experiments to discover how the results of different interventions differ, enabling a rapid section of optimal intervention.

“Medicine lacks an important element of scientific practice because it is not possible to carry out controlled experiments at the individual level,” Glazier said. “Digital twins solve this problem by allowing virtual experiments and control to assess what happens to a particular individual receiving a particular treatment.”

Digital twins can also model not only what the COVID-19 pandemic will look like to an individual, but what the future pandemic will look like. Patients with COVID-19 can have significantly different severity of symptoms, even though they carry the same virus. Several existing conditions have been identified that may increase the risk of serious illness due to COVID-19, but now detail how individuals respond to infections or available treatments. There is no way to predict.

Digital twins can change this with a better understanding of the individual’s immune system. It also provides a reason for some vaccines to elicit a strong and immediate immune response with lifelong protection, while others provide a weaker response and dissipative protection.

“The COVID-19 pandemic has revealed that we do not fully understand the immune system at the individual level and cannot design optimal treatments,” said Glazier. “If we can build a model that can explore how these immune responses work, we may be able to design better immunization strategies.”

Glazier and his colleagues hope that further use of digital twins will enhance their ability to fight not only known illnesses such as COVID-19, flu and cancer, but also completely unknown illnesses. ..

“COVID-19 isn’t the first pandemic, it won’t be the last,” he said. “The work we do with digital twins for infection and immunity response When faced with the following problems, you have most of the elements you need to quickly develop detailed predictive models for diagnosis, prognosis, and treatment. Pandemic After COVID-19. ”

“Digital Twin” — Assistance in tailoring medication to individual patients

For more information:
Reinhard Laubenbacher et al. Using digital twins for virus infection, Science (2021). DOI: 10.1126 / science.abf3370

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Indiana University

Quote: Digital twins have the potential to lead to more aggressive and personalized medicine, researchers say (March 12, 2021), https: // Obtained March 12, 2021 from -digital-twins-proactive-personalized-medicine.html

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Digital twins could lead to more proactive, personalized medicine, researchers say Source link Digital twins could lead to more proactive, personalized medicine, researchers say

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