Machine Learning Enables Diagnosis of Sepsis, the Elusive Global Killer
A new diagnostic method that applies machine learning to advanced genomics data from both microbe and host to identify and predict sepsis cases was developed by researchers at UCSF, the Chan Zuckerberg Initiative, and CZ Biohub.