
Summary In a case series, Johns Hopkins researchers used infrared thermography (IRT) to capture heat patterns associated with the erythema migrans (EM) rash and surrounding inflammation in early Lyme disease. […]
It is Real and Has an Identifiable Biological Basis Several published peer-reviewed studies conducted by the Johns Hopkins Lyme Disease Research Center are generating a growing body of evidence that […]
This study uses total RNA-sequencing of Lyme disease patients’ peripheral blood mononuclear cells. Using novel data analysis approaches, three unique groups of Lyme disease patients were identified, each with characteristic clinical and immunological features. Data from healthy controls and COVID-19 patients were included. Using machine learning classifiers, the study shows that Lyme patients can be distinguished from healthy controls as well as from COVID-19 patients.