CNS Trials With Sensors To Capture Patient Data

Neurological conditions affect more than one in three people globally, creating a high demand for innovative treatments. However, many clinical trials for central nervous system (CNS) disorders still rely on traditional endpoints that fail to capture the full scope of a patient’s experience. Advances in sensors and wearable devices are changing this by allowing for the continuous, objective measurement of subtle changes in a patient's cognitive, physiological, and physical state—changes that are often missed by conventional methods. This exploration, including a use case in Alzheimer’s disease, will show how validated digital endpoints derived from sensor data can enhance the efficiency of CNS trials, improve patient monitoring, and build greater regulatory confidence in these novel measures.