Researchers reported in vivo acoustoelectric neural recording in mice using ultrasound‑induced frequency mixing, demonstrating a minimally invasive route to capture neural signals with spatial specificity. The work outlines parameters for ultrasound modulation and electrode readouts and positions acoustoelectric approaches as an alternative to optical or implantable electrode methods. A separate study combined machine learning with acoustic manipulation to achieve real‑time trapping of microbubbles in dynamic, multi‑medium environments for MRI guidance. The AI-driven control system stabilizes and steers contrast agents, improving focal delivery and imaging contrast in preclinical settings. Clarification: Acoustoelectric recording converts ultrasonic pressure waves into localized electrical signals by mixing with neural bioelectric fields, enabling remote neural readout.