Episode 536: AI-Powered Breakthrough in Lyme Disease Diagnosis – with András Pal Bozsik

In this episode of the Tick Boot Camp Podcast, we sit down with András Pal Bozsik, co-founder of Lyme Diagnostics Ltd and coordinator of the EU-funded DualDur® project, to discuss a disruptive new diagnostic technology that promises earlier, more accurate detection of Lyme disease.

For decades, Lyme testing has relied on indirect serological methods that often miss early infection and fail chronic patients. András shares how his father’s pioneering work on Borrelia detection inspired the development of DualDur®, an AI-driven, direct detection system capable of finding Borrelia burgdorferi in blood samples at all stages of infection.

We cover:

• Why current Lyme serology tests miss up to 60% of early infections


• How the DualDur® cell technology medium stabilizes and concentrates Borrelia for accurate identification


• The role of AI-powered automated microscopy in eliminating human error and improving sensitivity


• Scientific evidence of Borrelia’s genetic variation and shape-shifting every 2–3 weeks — explaining chronic infection and recurring IgM immune responses


• How DualDur testing can monitor treatment efficacy and guide Lyme-literate practitioners


• The debate over sexual transmission of Lyme and mother-to-child transmission risks


• Insights from clinical trials with 400 patients across Europe proving DualDur’s higher accuracy compared to standard methods


• The importance of combination antibiotic therapy, including overlooked options like ciprofloxacin, and why single antibiotics are rarely effective


• Plans to expand DualDur testing across Europe and eventually into the United States with FDA trials

This groundbreaking conversation bridges science, technology, and patient care. It gives hope to millions of Lyme patients seeking a reliable test and effective treatment strategies.

🎧 Listen now to learn how DualDur could transform Lyme disease diagnostics and bring long-overdue answers to patients worldwide.