Digital Healthcare
Digital Healthcare
AI-first clinical workflows that span microvascular imaging, wearable sensing, and longitudinal patient monitoring.
- Nailfold Capillaroscopy pipelines for early autoimmune diagnosis
- Always-on biosignal analytics running on edge devices and hospital dashboards
- Secure IoT backbones that connect patients, clinicians, and decision support tools
Research Area Overview
Healthcare is evolving rapidly thanks to connected sensors and AI. Our lab develops applications that merge medical expertise with machine learning so hospitals, clinicians, and patients can access actionable insights anywhere.
Focus Topics
- Nailfold Capillaroscopy pipelines for early autoimmune and vascular disease diagnosis
- Digital therapeutics and remote-monitoring platforms with explainable, clinician-facing recommendations
- Low-power wearable systems for high-fidelity biosignal sensing and on-device anomaly detection
- Secure IoT backbones that connect patients, clinicians, and decision-support tools
