Caris Life Sciences®, a leading innovator in molecular science focused on fulfilling the promise of precision medicine, today announced the launch of the newest addition to its comprehensive genomic profiling offerings, MI GPS™ (Genomic Profiling Similarity) Score. MI GPS Score is an AI driven tumor type biology similarity score that uses more than 6500 mathematical models in the machine learning algorithm to compare molecular characteristics of a patient’s tumor against Caris’ extensive database to provide new insights into the molecular subtype of cancer of unknown primary (CUP) cases, atypical clinical presentation cases, and other difficult to treat cancer cases, to help guide treatment decisions.
“Caris has the world’s largest and most comprehensive database of paired molecular information with clinical outcomes,” said David Spetzler, MS, MBA, Ph.D., President and Chief Scientific Officer of Caris. “We are actively employing advanced machine learning capabilities with this data set to identify unique molecular signatures that our industry-leading pathologists can use to better identify cancer subtypes and predict patient response to certain therapies. The combination of AI and human intelligence provides the most comprehensive analysis available today to characterize a patient’s tumor.”