Researchers Create Artificial Intelligence Tool That Accurately Predicts Outcomes for 14 Types of Cancer

Proof-of-concept study ‘highlights that using AI to integrate different types of clinically informed data to predict disease outcomes is feasible’ researchers say Artificial intelligence (AI) and machine learning are—in stepwise fashion—making progress in demonstrating value in the world of pathology diagnostics. But human anatomic pathologists are generally required for a prognosis. Now, in a proof-of-concept study, researchers at Brigham and Women’s Hospital in Boston have developed a method...

Swiss Researchers Develop a Multi-omic Tumor Profiler to Inform Clinical Decision Support and Guide Precision Medicine Therapy for Cancer Patients

New biomarkers for cancer therapies derived from the research could usher in superior clinical laboratory diagnostics that identify a patient’s suitability for personalized drug therapies and treatments In another advancement toward accurate precision medicine, Swiss researchers from the University Hospitals of Zurich and Basel, ETH Zurich, the University of Zurich, and pharmaceutical company Roche have developed a multi-omic tumor profiling technology for cancer patients they hope will...
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