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A model food based on aqueous solutions of sucrose and sodium chloride is proposed for studying the microwave‐assisted pasteurization of fruit juices and nectars. Relative electrical permittivity, dielectric loss factor, and electrical conductivity of solutions with sucrose up to 40.0 g/100 mL and sodium chloride up to 1.6 g/100 mL were experimentally determined and successfully correlated with concentrations and temperature (from 10 to 90 °C). By adjusting the concentrations of the solutes, it was possible to satisfactorily match the dielectric behavior of 12 examples of products. Thermophysical and flow properties of the model food (density, specific heat, thermal conductivity, and viscosity) could be estimated from literature data, which is useful for process simulation. Practical applications Continuous flow microwave heating is an emerging technology with a potential to be used in the thermal processing of liquid foods. Model foods are important to study heating patterns, test prototypes, test process control, or tuning strategies, to be used as sterilization solutions, or carrier of chemical, biological, or enzymatic markers. The model food proposed here can match dielectric properties of fruit juices or nectars.

Genomic medicine, an emerging medical discipline, applies the principles of evolution, developmental biology, functional genomics, and structural genomics within clinical care. Enabling widespread adoption and integration of genomic medicine into clinical practice is key to achieving precision medicine. We delineate a biological framework defining diagnostic utility of genomic testing and map the process of genomic medicine to inform integration into clinical practice. This process leverages collaboration and collective cognition of patients, principal care providers, clinical genomic specialists, laboratory geneticists, and payers. We detail considerations for referral, triage, patient intake, phenotyping, testing eligibility, variant analysis and interpretation, counseling, and management within the utilitarian limitations of health care systems. To reduce barriers for clinician engagement in genomic medicine, we provide several decision-making frameworks and tools and describe the implementation of the proposed workflow in a prototyped electronic platform that facilitates genomic care. Finally, we discuss a vision for the future of genomic medicine and comment on areas for continued efforts.

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