It is recognized that biocomputing can provide intelligent solutions to complex biosensing projects.H owever, it remains challenging to transform biomolecular logic gates into convenient, portable,r esettable and quantitative sensing systems for point-of-care (POC) diagnostics in alow-resource setting.T oo vercome these limitations,t he first design of biocomputing on personal glucose meters (PGMs) is reported, which utilizes glucose and the reduced form of nicotinamide adenine dinucleotide as signal outputs,DNAzymes and protein enzymes as building blocks,a nd demonstrates ag eneral platform for installing logic-gate responses (YES,N OT, INHIBIT,N OR, NAND,a nd OR) to av ariety of biological species,s uch as cations (Na + ), anions (citrate), organic metabolites (adenosine diphosphate and adenosine triphosphate) and enzymes (pyruvate kinase,a lkaline phosphatase, and alcohol dehydrogenases). Ac oncatenated logical gate platform that is resettable is also demonstrated. The system is highly modular and can be generally applied to POC diagnostics of many diseases,s uch as hyponatremia, hypernatremia, and hemolytic anemia. In addition to broadening the clinical applications of the PGM, the method reported opens anew avenue in biomolecular logic gates for the development of intelligent POC devices for on-site applications. Figure 4. "Concatenated" logic gate using both NADH and glucose as the output. a) Scheme of the biocatalyticcascade with multiple inputs and outputs. b) The PGM response of repeated switches between "off" and "on" states by adding appropriate inputs of enzyme substrates and coenzymes.