$POAI AI-Driven Predictive Models Rapidly Changing Landscape of Cancer Treatment

• POAI subsidiary Helomics announce sequencing of ovarian tumor cases from UPMC Magee collaboration, a critical step in strategic Cancer Quest 2020 initiative
• Data key to value in $48-billion precision-medicine industry
• Industry leaders such as POAI realize critical value in patient-specific, data-driven models

The field of drug development for cancer treatment involves costly and time-intensive research. As technology plays an ever-increasing role in driving medicine, researchers and clinicians are discovering the significant potential of patient-derived models in matching specific cancer types with their most effective treatments. These models, which harness the patients’ own cancer cells to best determine how to defeat them, have been shown to be “a valuable tool for the identification of new treatment targets” (http://nnw.fm/BI5pI). To prepare for this next major frontier of precision medicine, industry leaders realize the critical value in these patient-derived (PDx) models of cancer. While most competitors are just getting their feet wet in both developing these PDx models and generating data from them, Predictive Oncology Inc. (NASDAQ: POAI) has been swimming in the deep end for some time, boasting an immensely valuable historic database of drug response for patients from its own proprietary PDx tumor models.

In the precision-medicine industry, the value of any predictive model is directly related to the quality and quantity of data used to build it. The richer and more extensive a predictive model’s data set, the more accurate and generalizable the predictions become. This predictive value translates into…

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