From the Proscia Blog: By Ajay Basavanhally Machine learning models are revolutionizing cancer outcome predictions by analyzing vast amounts of patient data to identify patterns and insights that traditional methods often miss. However, efforts to build these models are limited by manual extraction of key data elements from unstructured data such as clinical notes and […]
The post Proscia: Structured, Multimodal Real-World Data Can Improve Cancer Outcome Prediction first appeared on Tissuepathology.com.↧