NetworkNewsBreaks – Predictive Oncology Inc. (NA
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Predictive Oncology (NASDAQ: POAI), focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, this morning announced that its Helomics subsidiary has begun to sequence tumor cases from its collaboration with the UPMC Magee Women’s Hospital (http://nnw.fm/4uKXL). According to the update, the Helomics and UPMC Magee partnership focuses on analyzing the genomic and drug response profiles of women with ovarian cancer to build AI-driven predictive models’ terms of therapy response. A key benchmark in Predictive Oncology’s Cancer Quest 2020 project, the collaboration takes a retrospective look at around 400 ovarian cancer cases that Helomics profiled for drug response, for which UMPC Magee has outcome data. “These retrospective ovarian cancer cases were profiled by Helomics as early as 2010; hence, we have 10 years’ worth of drug treatment data, survival and other outcome measures we are gathering from Magee’s clinical databases,” Helomics CTO Dr. Mark Collins stated in the news release. “We are now sequencing these cases, looking at both the tumor mutations (genome) as well as tumor gene expression (transcriptome) to build a comprehensive multi-omic picture of the tumor. We are also using deep learning on histopathology images of the tumor tissue (tissue-omics) to add an additional dimension to this multi-omic profile. We believe the combination of the rich multi-omic profile of the tumor and clinical outcome data will allow us to build an AI-driven model of ovarian cancer capable of predicting the tumor drug response and patient outcome (prognosis).”
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