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Posted On: 04/30/2020 3:12:48 PM
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NetworkNewsBreaks – Predictive Oncology Inc. (NASDAQ: POAI) Advancing CancerQuest2020 Initiative
Predictive Oncology (NASDAQ: POAI), a knowledge-driven company focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, recently reported that its Helomics subsidiary is making headway toward its goal of developing an AI-driven predictive model of ovarian cancer (http://nnw.fm/W2TJb). An article discussing the company reads, “This achievement will be a key milestone for the company’s CancerQuest2020 initiative. . . . CancerQuest2020 is focused on building an AI-driven model of ovarian cancer that will predict drug response and outcome leveraging Helomics’ huge knowledge base of tumor profiles. Predictive models embody the knowledge from these profiles to create a ‘computational expert’ or a ‘virtual patient’ that can be queried. Predictive models such as these are of high value to pharmaceutical companies as they can be used to quickly select patients for clinical trials and assess potential new drugs or biomarkers computationally (‘in silico’) before initiating expensive laboratory experiments. In short, Helomics’ predictive models will save time and money in the search for new targeted therapies. . . . Using the power of AI, the model draws on data generated from over 150,000 tumor cases.”
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
Predictive Oncology (NASDAQ: POAI), a knowledge-driven company focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, recently reported that its Helomics subsidiary is making headway toward its goal of developing an AI-driven predictive model of ovarian cancer (http://nnw.fm/W2TJb). An article discussing the company reads, “This achievement will be a key milestone for the company’s CancerQuest2020 initiative. . . . CancerQuest2020 is focused on building an AI-driven model of ovarian cancer that will predict drug response and outcome leveraging Helomics’ huge knowledge base of tumor profiles. Predictive models embody the knowledge from these profiles to create a ‘computational expert’ or a ‘virtual patient’ that can be queried. Predictive models such as these are of high value to pharmaceutical companies as they can be used to quickly select patients for clinical trials and assess potential new drugs or biomarkers computationally (‘in silico’) before initiating expensive laboratory experiments. In short, Helomics’ predictive models will save time and money in the search for new targeted therapies. . . . Using the power of AI, the model draws on data generated from over 150,000 tumor cases.”
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
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