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STARR is Stanford’s single integrated data lake containing clinical data of different modalities from the three Stanford Hospitals and associated clinics. STARR contains “raw” and “analysis-ready” data as well as tools to analyze this data.

Recent developments in AI have demonstrated the potential for improving our ability to detect and diagnose cancers earlier. William Hsu will present three unique experience evaluating AI in multiple cancer screening scenarios.

Graphs are ubiquitous data structures providing powerful representations for objects with interactions. Empowered by recent progress in AI and machine learning, rapid technical progress has been achieved in graph mining. On the other hand, research and clinical practices in public health have generated large volumes of interconnected data, where the exploration of modern graph mining principles and techniques are still rather limited.

This webinar discusses pros, cons and challenges of moving health informatics research from silos and registry-centric to multi-centric electronic health records data. It will provide tools and data science methods incorporated to mine electronic health records to extract and capture time-dependent features when equally-spaced time is not present. The goal [...]