Predictive Oncology moves to leverage biobank using AI

Predictive Oncology (POAI) moves to leverage its vast biobank of more than 150,000 heterogenous live cell tumor samples and drug response data to aggressively pursue novel drug discovery, biomarker discovery and drug repurposing using AI and machine learning. “We recently achieved a major milestone in AI-enabled cancer drug discovery,” said Raymond Vennare, Chairman and Chief Executive Officer of Predictive Oncology. “Using compounds sourced from the Natural Products Discovery Core at the University of Michigan, we successfully developed predictive tumor response models for 21 previously untested molecules. These models are targeted at some of the most common cancer types, including breast, colon, and ovarian cancers.”