This Executive Overview outlines the proof-of-concept study completed by Predictive Oncology to illustrate the power of our active machine learning (AI) platform paired with our biobank of over 150,000 primary patient dissociated tumor samples. The described validation results demonstrate the generation of a predictive model that was able to accurately predict drug response across 130 samples and 175 drugs.

3D Tumor Models
Modeling Acquired Resistance in Ovarian Cancer: A Patient-Matched Spheriod Approach to Preclinical Drug Profiling
Most patients with advanced ovarian cancer respond to first-line platinum chemotherapy, yet the majority recur within two years, and the returning tumor is often pharmacologically
