In a study from the Journal of Medical Internet Research, a new tool may be able to test for COVID-19 without the use of PCR. Biocogniv's new AI-COVID™ software can predict the probability of COVID-19 infection with high accuracy.
"Nine months into this pandemic, we now have a better understanding of how to care for patients with COVID-19," University of Vermont Assistant Professor and lead author Timothy Plante, M.D., M.H.S. said, "but there's still a big bottleneck in COVID-19 diagnosis with PCR testing."
The tests provide insight into the immune system, electrolytes, kidney, and liver. The researchers were able to train a model that analyzes changes in these routine tests.
In emergency medicine such tools are popular, which allow doctors to dismiss potential diagnoses. The Biocogniv Team considers that it might minimize time for conventional PCR results for the secondary gain of laboratories integrating AI-COVID. The AI-COVID model was validated with real-world data from Cedars-Sinai, as well as on data from a number of regional and demographic hospitals in the United States.
COVID-19 traditional diagnosis of an RT-PCR test is associated with extended diagnostic time and substantial test run expenses. The SARS-CoV-2, a disease that can be detected using machine learning methodologies can lead to characteristic trends in the results of commonly available routine blood tests. In patients in the emergency department, machine learning methods incorporating results from these popular laboratory test results could speed up COVID-19 ruling out.
Cover Photo: "17 of 35 Transferring bison blood to vials for testing at Stephens Creek bison pens 3320"by YellowstoneNPS is marked with CC PDM 1.0