Researchers proposed a new strategy for atomically thin sensors that could transform electronic biosensing by detecting disease markers in blood, identifying viral variants, and enabling continuous monitoring applications. The work appears as a Nature Reviews Electrical Engineering perspective examining what single-atom-thick devices could enable for clinical lab and point-of-care diagnostics. In imaging automation, a cloud-based miniscope platform from Johns Hopkins enabled continuous remote monitoring of brain activity and vascular dynamics in freely moving mice for more than 24 hours. The Nature Methods work shows seizure capture and brain tumor microenvironment changes that conventional short imaging would miss. Separately, a new AI approach was reported for detecting breathing tubes on children’s chest X-rays, addressing a safety-critical timing problem for pediatric ventilation complications. Together, the items show rapid progress across sensing, imaging instrumentation, and AI-based clinical computer vision—areas likely to influence near-term translational workflows.