Inside Precision Medicine October 2, 2024
While developing their own tools, Proscia scientists sought ways to free up time for AI model development rather than technical details
Corey Chivers, a senior AI scientist at the digital pathology company Proscia, dreams of a future where doctors have simple access to AI-based apps that help them analyze and understand data, which in turn helps them diagnose and treat every patient correctly.
Getting there requires several key elements, including building bespoke models for tasks like identifying AI-based biomarkers. But this process takes astronomical amounts of data and significant human and computational resources, including pushing the limits of compute power, to support clinical-grade analysis.
What would be really helpful, according to Chivers, is not having to start from scratch for...
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