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Machine learning method identifies precancerous colon polyps

 E-Mail IMAGE: A, Optical colonoscopy and, B-D, CT colonography of a 9-mm polyp (arrow) in the descending colon of a 78-year-old woman. B, Virtual fly-through three-dimensional reconstructions were used for exact polyp. view more  Credit: Radiological Society of North America OAK BROOK, Ill. - A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans, according to a study published in the journal Radiology. Colorectal cancer is among the three most common causes of cancer-related death among men and women in industrialized countries. Most types of colorectal cancer originate from adenomatous polyps gland-like growths on the mucous membrane lining the large intestine that develop over several years. Early detection and removal of these precancerous polyps can reduce the incidence and mortality of colorectal cancer.

FOSS Patents: Federal Court of Justice of Germany issues prenatal death certificate for patent injunction reform: change is NOT coming

Saturday, February 20, 2021 Federal Court of Justice of Germany issues prenatal death certificate for patent injunction reform: change is NOT coming That pre-hearing statement starts with the following two sentences (my translation): It is not to be expected that the proportionality analysis envisioned by [the proposed reform statute on injunctive relief] will result in any fundamental departure from the principles of the Heat Exchanger case law. The probability of a finding or, respectively, negation of proportionality in a given case is, therefore, not going to change with respect to the underlying principles. There you have it again: the total failure of pro-reform lobbying efforts. They wasted time, money, and energy, and the result is going to be symbolical, but the situation won t really improve. That statement by the Federal Court of Justice will be cited by plaintiffs and, ultimately, by the lower courts.

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