  Artificially engineered biosensors are highly inefficient in accurately
measuring the concentration of biomarkers, particularly, during early diagnosis
of diseases. On the other hand, single cellular systems such as chemotactic
bacteria can sense their environment with extraordinary precision. Therefore,
one would expect that implementing the optimal cellular sensing strategies in
state-of-the-art artificial sensors can produce optimally precise biosensors.
However because of the presence of measurement noise, strategies that are
optimal in biological systems may not be optimal in artificial systems.
Therefore, mimicking biological strategies may not be the optimal path in case
of artificial sensing systems because of the presence of inherent measurement
noise.
