Breaking the Sensitivity-Range Trade-Off in MEMS Accelerometers Micro-electromechanical systems (MEMS) accelerometers have long faced a fundamental limitation: the inevitable trade-off…
Researchers are applying fundamental engineering concepts to biological systems, enabling faster identification of disease biomarkers. The approach uses control theory and observability principles to monitor minimal variables while understanding entire biological processes.
Fundamental engineering principles are revolutionizing how scientists identify disease biomarkers more quickly, according to groundbreaking research from the University of Michigan. By applying established concepts of control theory and observability to biological systems, researchers can now pinpoint critical indicators of disease states with unprecedented efficiency, potentially transforming medical diagnostics and treatment development.
