About Predictive Oncology (NASDAQ: POAI)
The leading edge of a new frontier in drug discovery
As a science-driven company on the leading edge of oncology drug discovery, Predictive Oncology offers an unrivaled suite of solutions for the biopharma industry. Through the integration of scientific rigor and machine learning, the company has developed the ability to advance molecules into medicine more confidently by introducing human diversity earlier into the discovery process with the pairing of artificial intelligence and the world’s largest privately held biobank of over 150K tumor samples. Predictive Oncology’s solutions additionally include tumor models, biologics development, formulation design, a GMP facility, a CLIA laboratory and substantial scientific domain expertise.
Our vision
We bring hope to cancer patients.
Our mission
Our mission at Predictive Oncology is to change the landscape of oncology drug discovery and enable the development of more effective therapies for the treatment of cancer. By harnessing the power of machine learning, scientific rigor and biologics, we can improve the probability of success and advance drug compounds with a higher degree of confidence.
Our why
At the end of the day, we know there is a cancer patient waiting for therapies to be developed, hoping for a new and effective treatment to get into the hands of the clinician that can help improve their quality of life, extend their life or even cure their cancer—we are that hope.
Meet our team
Get to know our Leadership Team and Board of Directors.
Let’s discover and develop together.
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News & resources
White paper validates highly reproducible drug response data. Results enable AI platform to model and predict patient outcomes on historical samples Leveraging more than 20...
A recent white paper released by Predictive Oncology’s highlights the challenge of late-stage clinical trial failures and the company’s ability to better navigate those obstacles...
Company expands AI/ML driven capabilities to pursue novel biomarker discovery to predict patient outcomes and drug response in oncology. Read our white paper below that...