Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on my group’s research in two areas of relevance to digital health: (1) cardiogenic vibration sensing and analytics; and (2) musculoskeletal sensing with joint acoustic emissions and bioimpedance. Our group has extensively studied the timings and characteristics of cardiogenic vibration signals such as the ballistocardiogram and seismocardiogram, and applied these signals for quantifying filling pressures and volume status in the context of heart failure (volume overload) and hemorrhage (volume depletion). We have also leveraged miniature contact microphones to measure the sounds emitted by joints, such as the knees, during movement, and have examined how these acoustic characteristics are altered by musculoskeletal injuries and disorders (e.g., arthritis). We envision that these technologies can all contribute to improving patient care with lower cost and better outcomes.