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 predictive oncology


Predictive Oncology set to market its flagship artificial intelligence drug discovery platform

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Predictive Oncology Inc (NASDAQ: POAI) is set to be a first mover in the artificial intelligence (AI) powered drug discovery market that the company estimates will grow to $20 billion in the next three years. The Minneapolis, Minnesota-based company outlined its strategy for 2022 and revealed that it plans to leverage its existing pharma relationships to market PeDAL in a move that will take the proprietary platform out of the research lab into the pipelines of oncology drug discovery companies. Predictive Oncology recently completed its Discovery 21 evaluation, which is the proof-of-concept for PeDAL. CoRE, the company's AI program, together with tumor profile data, human tumor samples and active machine learning, power PeDAL to determine the most effective drug treatment for a specific cancer type. Investors responded well, sending shares of Predictive Oncology nearly 5% higher to $0.84 in the pre-market trading session.


Delivering Precision Medicine's True Potential: Big Data, Artificial Intelligence Identify New Cancer Therapeutics

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The field of precision medicine has latched upon what may well be the Holy Grail in the fight against cancer. When big data are utilized by teams of pathologists, data can be incredibly helpful, but when the right data are comprehensively analyzed by artificial intelligence (AI)-powered models, the data can be downright lifesaving. Predictive Oncology (NASDAQ: POAI) (POAI Profile) is in an enviable position in the precision-medicine industry due to its incredibly rich data set of more than 150,000 clinically validated cases on its molecular information platform, with 30,000-plus specific to ovarian cancer. The company is leveraging this unique database through Artificial Intelligence to provide the actionable insights needed to drive pharma R&D programs and improve patient outcomes. A data asset like this typically takes at least five years to fully validate and most competitors are only in the early stages of the process.