Researchers demonstrated two ultrasound-driven advances that extend acoustic tools into biomedical control and sensing: in vivo acoustoelectric neural recording in mice and AI-guided real-time acoustic trapping for MRI-visible microbubbles. The acoustoelectric technique uses ultrasound-induced frequency mixing to transduce neural signals noninvasively, enabling neural recording with reduced invasiveness in preclinical models. Separately, a Communications Engineering paper presents a machine-learning pipeline that enables real-time acoustic trapping across heterogeneous media to position and control microbubbles during MRI—an advance that could enable targeted contrast control or localized drug-release triggers. Both studies integrate acoustics with computation to improve spatial precision and temporal control in vivo. The convergence of ultrasound physics, ML control systems, and MRI compatibility points to near-term translational paths: noninvasive neural interfacing and precision microbubble-mediated delivery or imaging. Developers of neural interfaces, microbubble therapeutics, and MRI‑guided delivery should evaluate feasibility, scaling needs, and regulatory pathways for acoustic actuation in clinical settings. Sources: Nature Communications preprint and Communications Engineering.