Digital health and MedTech combine connected devices, computational tools, and engineered biological models for monitoring, diagnosis, and care. They matter as healthcare seeks timely information and more informed decisions beyond traditional clinical settings.
Continuous glucose monitoring uses a wearable sensor to measure glucose levels in the fluid beneath the skin at regular intervals.
Digital therapeutics are evidence-based software interventions designed to prevent, manage, or treat a medical condition.
AI systems that combine multiple types of clinical data to support healthcare professionals in diagnosing conditions.
Neuromorphic computing for brain-computer interfaces uses brain-inspired computing systems to process or interpret signals in interfaces that connect the brain to external devices.
An organ-on-a-chip is a microengineered in vitro system that models functions of a human organ or tissue, often using living cells in a microfluidic device.
Point-of-care biosensors and microfluidics are technologies that use biological sensing and small-scale fluid handling to perform tests near the patient.
Remote patient monitoring uses digital devices and communication technologies to collect and transmit health data from patients outside traditional clinical settings.
Smart stethoscopes are electronic listening devices that capture, process, or transmit body sounds to support clinical examination and diagnosis.
Wearable ECG sensors are body-worn devices that measure and record the heart’s electrical activity.
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