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University of Nebraska Medical Center

AI approach reveals possible fusion of rare diseases in COVID-19 origins

Medical News Despite extensive research, the origins of COVID-19 remain elusive. In a new study published in the KeAi journal Advances in Biomarker Sciences and Technology (ABST), an AI-driven approach was adopted to examine DNA methylation patterns at 865,859 CpG sites in blood samples from early COVID-19 patients.

The study was conducted by Zhengjun Zhang from the Department of Statistics at University of Wisconsin. Using max-logistic intelligence, he uncovered strong genetic link evidence suggesting that COVID-19 likely emerged from the natural fusion of two rare infectious diseases, glanders and Sennetsu fever, with some common human diseases.

The findings suggest that COVID-19 likely originated in humans rather than bats or pangolins, meaning previous studies may have been misled by an overemphasis on wildlife origins.

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