I will survey our recent results obtained in collaboration with O. Bénichou and G. Oshanin on dynamics of a biased particle (biased intruder, BI) in a very dense molecular crowding environment modelled as a lattice gas of unbiased, randomly moving hard-core particles. Going beyond the usual analysis of the force-velocity relation (FVR), we will focus on the behaviour of the higher moments of the BI vector displacement R n at time n (the FVR is just the first moment). We will prove that in infinite two-dimensional systems the probability distribution P (R n) converges to a Gaussian as n → ∞, despite the fact that the BI drives the system into a non-equilibrium steady state with a non-homogeneous spatial distribution of the lattice gas particles. We will show that in two-dimensions P (R n) broadens along the direction of the bias (weakly) super-diffusively: here the interplay between the bias, vacancy-controlled transport and the back-flow effects of the medium on the BI entails an accelerated growth of the variance, σ 2 x ∼ α 1 n ln(n). In the perpendicular to the bias direction the variance σ 2 y ∼ α 2 n. We determine α 1 and α 2 exactly for arbitrary bias, in the lowest order in the density of vacancies. Note that for small pulling forces F the coefficient α 1 ∼ F 2 which signifies that such a behaviour emerges beyond the linear-response approximation. Further on, capitalising on our exact results, we will present analytical arguments showing that such an anomalous, field-induced broadening of fluctuations is dramatically enhanced in confined, quasi-1D geometries-infinite 2D stripes and 3D capillaries, which have applications in micro-fluidics. We predict that for such confined, dense molecular crowding environments the variance follows a strongly super-diffusive behaviour σ 2 x ∼ n 3/2. Monte Carlo simulations confirm our analytical results.