Method To Determine Critical Illness Patient Clusters

Invention Novelty

Value Proposition

Technology Description

UCSF researchers have developed a machine learning model to identify clusters of critically ill
patients and predict assignment of patients to those clusters. This computational method allows
for the identification of patients for which an investigational drug would be useful versus
harmful.

Application

Looking for Partners

Stage of Development

Related Materials

Data Availability

Patent Status

Patent Pending