The Department of Family Medicine

F. Matthew Mihelic, MD

Associate Professor

Clinical Focus

Medical decision-making, complex systems, biophysics

Research Focus

Dr. Mihelic's research interests involve the biological complexity that originates in the quantum mechanics of the DNA molecule, especially with respect to complex decision-making in multi- agent complex adaptive systems. Dr. Mihelic holds a patent on a multi-agent complexity-related decision-making algorithm (US 8,170,965) that has potential applications in big data analysis, distributed computing, artificial intelligence, enterprise architecture, and biologically-related systems. He has developed a theoretical model of how the DNA molecule functions as a quantum logic processor, and through that model he has predicted and experimentally demonstrated entanglement-based non-local communication between separated cell cultures at biological temperatures. Dr. Mihelic currently is planning research to explore the role of DNA quantum entanglement and decoherence in cancer.

Education

Medical School
Loyola University of Chicago

Residency
Montgomery Family Practice Residency Program, University of Alabama at Birmingham authorized, Montgomery, Alabama

Certification

Family Medicine

Current Publications

Mihelic MF.
A quantum logic gate in the DNA deoxyribose moiety. Proc. SPIE . Quantum Effects and Measurement Techniques in Biology and Biophotonics, 128630B (13 March 2024); https://doi.org/10.1117/12.3000506

Mihelic MF.
Emergent potential of the terahertz cmos microprocessor. Proc. SPIE. Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVII, 128850N (11 March 2024); https://doi.org/10.1117/12.3001799

Current Presentations

Mihelic FM. Implications of the quantum DNA model for information sciences. Presented at Disruptive Technologies in Information Sciences V; 2021 Apr 12-16; Virtual.

Mihelic FM. Magnetic vector potential manipulation of Majorana fermions in DNA quantum logic. Presented at Quantum Information Science, Sensing, and Computation XIII meeting; 2021 Apr 12-16; Virtual.