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.
Nailfold Capillaroscopy
Nailfold Capillaroscopy (NFC) provides a non-invasive window into microvascular health. We focus on vessel segmentation, anomaly scoring, and decision support dashboards that help rheumatologists and neurologists detect early systemic diseases.
Healthcare Platforms
Building on rapid hardware advances and wearable devices, we deliver digital therapeutics capable of remote monitoring and personalized interventions. AI models interpret biometric streams, estimate physical conditions, and guide clinicians with explainable recommendations.
Wearable Devices
We engineer low-power wearable systems that gather high-fidelity biosignals, transmit them securely, and run on-device analytics for anomaly detection. The research spans embedded design, communication protocols, and AI deployment pipelines.
Internet of Things
Our IoT research orchestrates networks of healthcare devices, ensuring reliable data exchange between patients and caregivers. We optimize network-based control strategies so the next-generation healthcare ecosystem remains responsive and secure.
