Systems and methods of dynamic biometric detection and response are provided for the purpose of establishing baseline health status while conveying real-time drug prescription usages and reactions from baseline data. The dynamic monitoring system may be embedded within a wristband, ring, vest, and/or waistband in wireless communication with a computing device or server. Each wearable device may employ interchangeable and embedded sensors to detect inertia movements; 360-imaging fall detections; and a variety of body-emitting vital signs. The system may include a processor operable to sense user location, motion, activity, and biomarkers for the purpose of detecting the user's behavior pattern, wherein an enhanced machine-learning algorithm is used to identify repetitive actions within the user's behavior pattern; and, based upon this pattern, the system is able to detect one or more anomalies for the purpose of generating an anomaly alert for third party notification and quantitative analysis at a server.