“The way in which Predictive Oncology utilizes the power of predictive models offers the potential to optimize the utilization of resources, improve patient outcomes, and...
Largest commercial biobank
The PeDAL team test the highest confidence drug-tumor pairing predictions (including hits and misses) against actual tumor samples from our proprietary biobank in our on-site wet lab.
Knowledgebase +
AI
AI technology leverages historical drug-response data (and first-party data provided by the partnering drug development team) to make an initial set of predictions of drug-tumor pairings.
Machine
Learning
Wet-lab testing results inform subsequent rounds of AI predictions. This iterative process repeats until the prediction results stabilize from round to round.
Identifying which molecules will work on which cancer types (and with which patients) can be like finding a needle in a haystack. PeDAL optimizes the early drug-discovery process by introducting the human element much earlier (via our biobank), than using AI to help test large experimental spaces more efficiently and with a higher degree of confidence.
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News & resources
Life Sciences Knowledge Hub, recognized as the fastest-growing life sciences media platform, met with our Chief Executive Officer, Raymond F. Vennare, and Chief Business...
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...