“…While sensitivity can be enhanced by active circuitry techniques [33][34][35][36], selectivity seems only to be addressable by acquisition of redundant information by means of multi-sensor or multi-parameter measurements [28,31,[37][38][39]. The advancements in machine-learning techniques cast growing optimism on these multi-parameter fusion approaches [40][41][42][43], which could lead to considerable gains of selectivity and robustness [38,[44][45][46]. In this framework, looking at the literature, one can find up-to-date reviews of planar microwave sensors for general dielectric permittivity measurements [47][48][49], electromagnetic sensors for general biomedical [50,51] or industry [52] applications, and multitechnology sensors for glucose sensing in both health and industry contexts [28,29,[53][54][55][56][57][58], but not a specialized review of planar microwave resonant glucose sensors.…”