A new artificial intelligence analysis of patients with ovarian cancer links contraceptive pills with a reduced risk of 26% for those who had used them, and 43% for those who had used it after 45 years.
That does not mean that I should take it as a way to prevent cancer, it is an endocrine disruptive that binds to estrogen with 20,000x the effect of compounds such as BPA that environmentalists tried to claim are too risky in food containers, and this study is exploratory. With enough data, Australians could link the vote of the Liberal Party to reduce the risk of diseases. Epidemiology can link anything with anything.
He analysis Of 221,732 women in the Biobanco of the United Kingdom also linked some biomarkers with the risk of ovarian cancer, including several characteristics of red blood cells and certain liver enzymes in the blood, but also found a thin and low risk, so the terms such as “suggest” linked to “correlated” and “associated” show that science is not yet involved. That those with two or more children had a reduced risk of 39% of developing ovary cancer compared to those who had not had children is an idea of a reader that there is no plausible biological mechanism on how they can be connected.
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The data set is also small. There were 1,786 diagnoses in Australia, where the creators of data analysis live, and 1,050 dead in 2023, and how to use a year of marriages and divorces taken out of context that they cannot tell us much. What would help is if AI could diagnose ovary cancer, but the expensive evidence for each woman with a child or less will not happen. If more estrogen causes less ovarian cancer, an entire industry built around scare the public with respect to endocrine disruptors is closing the business. Early detection would be valuable, but it needs more than statistics.
They could have something there. They included 3,000 characteristics related to health, some of which were measured at the beginning of the United Kingdom project. If, as they claim, some blood measures, taken on average 12.6 years before diagnoses, are predictive of the risk of ovarian cancer, that would certainly be convincing.
“Ovary cancer is notoriously diagnosed at a late stage, with approximately 70% of cases only identified when they are significantly advanced,” says Dr. Amanda Lumsden of the University of Southern Australia. “Late detection contributes to a survival rate of less than 30% for five years, compared to more than 90% for ovarian cancers that are captured early. That is why it is so important to identify risk factors. ”
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