AI Uncovers Hidden Genetic Clues That Challenge COVID-19’s Origins
14th February 2025
The origins of COVID-19 remain uncertain despite extensive research. A new study published in Advances in Biomarker Sciences and Technology (ABST) takes an AI-driven approach to analyze DNA methylation patterns at 865,859 CpG sites in blood samples from early COVID-19 patients.
Led by Zhengjun Zhang from the University of Wisconsin’s Department of Statistics, the study used max-logistic intelligence to identify strong genetic links. The findings suggest that COVID-19 may have resulted from the natural fusion of two rare infectious diseases — glanders and Sennetsu fever — combined with common human illnesses.
Which, of course, doesn’t speak to whether it arose naturally or by means of ‘gain of function’ research by ill-intentioned people.