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Predicting COVID-19 severity with precision

How machine learning and immune profiling could transform patient care and resource allocation

13-May-2020

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Edifice Health is actively working on a diagnostic test to predict the severity of COVID-19, addressing a significant gap in managing the disease. By analysing the proteomic plasma profiles of SARS-CoV-2 patients and employing advanced machine learning techniques, the test aims to provide critical insights into a patient’s likely disease progression. This would enable healthcare providers to identify high-risk individuals, optimize treatment plans, and allocate vital resources like ICU beds and ventilators more efficiently.

The test could also serve as a companion diagnostic tool, offering actionable data to prioritize care for those most at risk, including younger patients whose severe cases remain poorly understood. Additionally, when combined with antibody-based COVID-19 tests, the tool could support government and healthcare organizations in strategic planning for resource distribution at the population level. This innovation is particularly crucial for addressing the diverse risk factors, such as age and comorbidities, that contribute to the disease's unpredictable nature.







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Edifice Health

Biotechnology company

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Coronavirus
Predicting COVID-19 severity with precision