Tag: Healthcare
End-to-End Prototype using AffectLog’s Privacy-Preserving Mental Health Digital Twin Platform
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Introduction Integrating personal health data with clinical records can greatly improve the prediction and management of mental health conditions. In this prototype, we design a privacy-preserving mental health digital twin platform that unifies data from iPhone sensors, doctor’s notes, and electronic health records (EHR) to create a dynamic digital representation…
Federated Learning within the Hospital Network: How AffectLog sets a New Standard in Secure Data Aggregation for the Mental Health Monitoring of the Frontline Health workers
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In today’s data-driven landscape, healthcare data is a treasure trove of insights waiting to be unlocked—especially for large hospital networks. From predictive analytics in oncology to AI-based radiology, the potential for machine learning (ML) to enhance patient care is immense. Yet concerns around data privacy, complex regulatory requirements, and the…
