The MiningNewsWire Podcast

Despite the enormous progress made in the war against cancers, ovarian cancer has proved to be a tenacious foe. Progress is being made, however, as AI predictive models are being used to better target deadly ovarian cancers.

Ovarian cancer is difficult to treat and lethal, with survival rates much lower than other cancers that affect women. Recently, the battle against ovarian cancer has shifted strategy, and new optimism has come to the fore. Predictive models using artificial intelligence on large data sets of patient drug-treatment protocols and historical outcomes are now providing actionable intelligence for pharma to develop targeted therapeutics and for oncologists to prescribe the best course of treatment to improve individual patient outcomes. Predictive Oncology (NASDAQ: POAI) is laser focused on providing the molecular information critically needed to improve the lives of women stricken with ovarian cancer. The company has begun sequencing ovarian cancers as part of its CancerQuest2020 project and is building the largest ovarian multi-omic database in the world, designed to speed the development of new drugs and provide better therapeutic choices. The rest of pharma is also racing to find solutions. Roche Holdings AG (OTCQX: RHHBY) acquired a molecular information company, is researching new ovarian specific drugs and is finding ways to identify the patients who will benefit most from detailed molecular information. GlaxoSmithKline PLC (NYSE: GSK) has developed a long-term approach to finding new cancer treatments by focusing attention in four key areas. AstraZeneca (NYSE: AZN) recently announced a new first-line maintenance treatment for advanced ovarian cancer. And Bristol-Myers Squibb (NYSE: BMY) has entered into clinical collaborations to evaluate drug combination therapeutic regimens for ovarian cancers.