Preliminary Research Suggests Means of Fighting Ovarian Cancer : acsh

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Preliminary Research Suggests Means of Fighting Ovarian Cancer

Preliminary Research Suggests Means of Fighting Ovarian Cancer

Ovarian cancer is hard to detect and, according to the American Cancer Society, "Ovarian cancer accounts for about 3% of cancers among women, but it causes more deaths than any other cancer of the female reproductive system."This year it is expected that over 22,000 women will receive a new diagnosis of ovarian cancer, and over 14,000 will die of the disease.There are no reliable tests to alert patients or care-givers of the disease in its early stages.In fact, in 2012 the United States Preventive Services Task Force recommended against the then-current techniques for screening; this recommendation is currently under review, and updated ones should be published in the near future.


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American Association for Cancer Research Releases 2016 Cancer Progress Report

American Association for Cancer Research Releases 2016 Cancer Progress Report

PHILADELPHIA, Sept. 20, 2016 /PRNewswire/ -- Federally funded research continues to spur progress against cancer; however, accelerating the pace of progress will require robust, sustained, and predictable annual funding increases for the National Institutes of Health (NIH), the National Cancer Institute (NCI), and the Food and Drug Administration (FDA).Additionally, strong financial support for the National Cancer Moonshot Initiative is required, according to the sixth annual American Association for Cancer Research (AACR) Cancer Progress Report, released today.Experience the interactive Multimedia News Release here: https://www.multivu.com/players/English/7911951-aacr-2016-cancer-progress-reportOne of the most exciting new approaches to cancer treatment is cancer immunotherapy.As detailed in the report, the utility of immunotherapy is expanding rapidly.


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Cancer Research Aided by NASA's Space Exploration

Cancer Research Aided by NASA's Space Exploration

Advanced cancer research is calling on techniques used by NASA scientists who analyze satellite imagery to find commonalities among stars, planets and galaxies in space.Scientists from NASA's Jet Propulsion Laboratory (JPL) use complex machine learning algorithms to identify similarities among galaxies that may otherwise be overlooked, NASA officials said in a statement.Using similar techniques, medical professionals are able to analyze a lung sample for common cancer biomarkers.However, analyzing a biopsy specimen for biomarkers is not the only way in which JPL's complex machine learning algorithms can be used in the medical field.