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Mayo Clinic Develops Medical AI

April 28, 2021

Mayo Clinic Develops Medical AI

Researchers within Mayo Clinic’s Center for Individualized Medicine have developed an artificial intelligence (AI) platform that can uncover causal drivers and relationships embedded within complex biomedical data.

The researchers recently tested their machine-learning framework, called Causal Relation and Inference Search Platform (CRISP), on multiomic colorectal cancer samples alongside NASA Frontier Development Lab data scientists and machine-learning engineers. The Mayo team presented and published its findings at the IEEE Global Conference on Life Sciences and Technologies held in early March 2021. “Identifying causal variables directly from observational data, and differentiating between causal relationships and misleading correlations, is a critical step toward understanding, diagnosing and treating rare and complex health conditions,” said Dr. Kalantari, a machine-learning scientist within the center’s Microbiome program and the principal investigator of the study. “No one, to our knowledge, has developed or applied such causal and invariant approaches for multiomic biomedical data before.” Dr. Kalantari further said the novelty of such a platform comes from its ability to discover the underlying cause-and-effect relationships driving a patient’s disease progression.
   —Please visit https://individualizedmedicineblog.mayoclinic.org/2021/03/29/mayo-researchers-use-ai-to-reveal-causes-of-complex-diseases/ to read the full article.