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The ongoing debate on chronic illnesses in vaccinated versus unvaccinated populations calls for a deeper reexamination of epidemiology. Dr. K.R.S. Murthy, drawing from his distinguished career, will revisit foundational epidemiological principles and explore the natural, repeated modes of viral mutation. He will highlight how viruses like COVID-19 and influenza evolve continuously, challenging traditional vaccine development and distribution cycles.
Dr. Murthy will also introduce the potential of quantum computing to analyze viral mutations, predict spread patterns across populations and travel networks, and model transmission dynamics with greater precision.
Joining him, Prakash Ramchandran, a veteran technologist involved in the original HIPAA framework and recent advances in quantum and machine learning, will discuss how emerging computational tools can revolutionize epidemiological data analysis.
Taposh Dutta-Roy, Director of AI/ML at Kaiser Permanente and founder of the Silicon Valley Quantum & Advanced Computing (SVQAC) group, will share practical applications of quantum-inspired models that supported hospital operations, staffing, and supply planning during COVID-19 and flu seasons.
Together, they will demonstrate how Quantum-Inspired Epidemiology (QIE) can integrate advanced computation with core public health science to better forecast outbreaks, design adaptive vaccines, and enhance global preparedness.

Genomics
Artificial Intelligence
COVID-19
Algorithms & Computational Theory
Quantum Computing

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