Predictive Oncology (NASDAQ: POAI), a company focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, today announced that Helomics CTO Dr. Mark Collins will speak during the scientific session of the inaugural UK 100,000 Genomes Project (“UK100K GP”) conference, and will participate in an invite-only session on the expansion of the UK100K GP to 5 Million genomes. According to the update, Helomics partnered with the UK100K GP in November 2018 to utilize whole genome and outcome data from the project to advance its efforts to build predictive models of various cancers. “This partnership is key to our approach of building AI-driven predictive models. We are delighted to participate in the scientific spotlight session, panel discussion and an invite-only session on the expansion of the UK 100,000 Genomes Project to 5 million genomes,” stated Dr. Collins. “The depth of both the genomic and clinical data for ovarian cancer from the project is best-in-class, yielding useful benchmarks to validate our models. Over the next year, we intend to explore additional projects to enable use of our AI-driven predictive models to improve outcomes for ovarian cancer patients in the UK, as well as seek partnerships with UK pharma companies for the development of new precision ovarian cancer therapies.”
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About Predictive Oncology Inc.
Predictive Oncology is an AI-driven company focused on applying artificial intelligence to personalized medicine and drug discovery. The company applies smart tumor profiling and its AI platform to extensive genomic and biomarker patient data sets to predict clinical outcomes and, most importantly, improve patient outcomes for cancer patients of today and tomorrow. Predictive Oncology currently has approximately 150,000 clinically validated cases on its molecular information platform, 38,000+ specific to ovarian cancer. The company’s data is highly differentiated, having both drug response data and access to historical outcome data from patients. Predictive Oncology intends to generate additional sequence data from these tumor samples to deliver on the clear unmet market need across the pharmaceutical industry for a multi-omic approach to new drug development. For more information, visit the company’s website at www.Predictive-Oncology.com.
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