Predictive Oncology Expands the Application of its Live-Cell Tumor Platform to De-Risk Drug Discovery and Accelerate Pipeline Development - Seite 2

“Beyond addressing the responsiveness of patient tumor cohorts, these capabilities can identify which of the many tumor features that we have deployed in our modeling would be the most fruitful to exploit for potential new biomarkers, targets, or even drugs.

“The ability to facilitate biomarker discovery, refine clinical trial optimization and provide decision support, speaks to the broad versatility of our offering. Artificial intelligence is poised to play a rapidly increasing role in pharmaceutical R&D, and we are working to remain at the forefront of this exciting evolution,” Mr. Vennare concluded.

Predictive Oncology also announced today the release of a new white paper that discusses these capabilities in greater detail. The white paper can be accessed at: https://predictive-oncology.com/blog/heterogeneity

About Predictive Oncology

Predictive Oncology is on the cutting edge of the rapidly growing use of artificial intelligence and machine learning to expedite early biomarker and drug discovery and enable drug development for the benefit of cancer patients worldwide. The company’s proprietary AI/ML platform has been scientifically validated to predict with 92% accuracy if a tumor sample will respond to a certain drug compound, allowing for a more informed selection of drug/tumor type combinations for subsequent in-vitro testing. Together with the company’s vast biobank of more than 150,000 assay-capable heterogenous human tumor samples, Predictive Oncology offers its academic and industry partners one of the industry’s broadest AI-based drug discovery solutions, further complimented by its wholly owned CLIA lab and GMP facilities. Predictive Oncology is headquartered in Pittsburgh, PA. 

Investor Relations Contact
Tim McCarthy
LifeSci Advisors, LLC
[e-mail]

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