Robert Root-Bernstein
Academic
Science Finds Healing in Halloween Horrors...East Lansing and co-author of Honey, Mud, Maggots and Other Medical Marvels. And he noted that spider webs, when placed on actual wounds, can aid blood clotting. Meanwhile, scientists are discovering that what's good for vampires might also... In this article: Sugar, Toxin, Robert Root-Bernstein, Halloween, Candy, Venom, FDA, Vampire bat, and University of Wisconsin Medical School |
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news.yahoo.com
Science Finds Healing in Halloween Horrors - Yahoo! News
FRIDAY, Oct. 30 (HealthDay News) -- Monsters, bloodsuckers and spiders, oh my! ... venom is also being looked at to kill off tumors, said Robert Root-Bernstein, ...
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ww2.wkyt.com
Science finds healing in Halloween horrors - WKYT 27 ...
... venom is also being looked at to kill off tumors, said Robert Root-Bernstein, ... SOURCES: Robert Root-Bernstein, Ph.D. professor, physiology, Michigan State ...
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Description from Wikipedia:
Professor Robert Root-Bernstein (b. August 7, 1953) (PhD, Princeton University) is a professor of Physiology at Michigan State University. In 1981, he was awarded a MacArthur Fellowship, commonly known as the "genius grant."
He has also been researching and consulting on creativity for more than fifteen years. Among other books, he has authored Discovering: Inventing and Solving Problems at the Frontiers of Scientific Knowledge, and Rethinking AIDS: The Tragic Cost of Premature Consensus. In Rethinking AIDS, Root-Bernstein postulates that factors in addition to HIV may contribute to AIDS. Because of these views, Root-Bernstein was a member of the Group for the Scientific Reappraisal of the HIV-AIDS Hypothesis, a group of AIDS denialists.
Root-Bernstein suggests that HIV, while involved in the development of AIDS, may be no more important than "co-factors": "Both the camp that says HIV is a pussycat and the people who claim AIDS is all HIV are wrong." He has criticised AIDS denialists who argue that HIV is harmless, saying, "The denialists make claims that are clearly inconsistent with existing studies. When I check the existing studies, I don’t agree with the interpretation of the data, or, worse, I can’t find the studies [at all]."
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