As a physician-centric, AI-powered organization, Astrana sees the acquisition as a way to scale its proactive, high-quality care model using proprietary tech and data infrastructure. The company ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

An intention refinement method for domain-data analysis using large language models is proposed. It employs a “domain-framing prompt” to relate a domain expert's interests with relevant domain data.

The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...

Experts from Snowflake and Informatica joined DBTA's webinar, From Data to Insights: Leading-Edge Analytics & BI with Informatica & Snowflake, to evaluate actionable strategies and success stories for ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...