This $402,222 National Science Foundation Project Grant, funded through the Engineering program (CFDA 47.041), supports the development of a new class of simple, inexpensive, portable, and rapid molecular diagnostic platforms. The awardee, University of Cincinnati, will engineer an instrument that can reliably and quickly detect infectious diseases in human samples using a combination of biochemistry, magnetism, fluid physics, and machine learning insights. Specifically, the university will develop a new biophysical model to optimize loop-mediated isothermal amplification (LAMP) primer sets for rapid pathogen detection. It will also create educational modules and explanatory videos on scientific concepts to integrate with the research. The goal is to introduce innovations allowing engineering of a novel molecular diagnostics system suitable for resource-limited field deployment, addressing a key limitation in disease assessment and management. The four-year award period began in January 2023.
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