DiscoverScience Magazine PodcastNew insights into endometriosis, predicting RNA folding, and the surprising career of the spirometer
New insights into endometriosis, predicting RNA folding, and the surprising career of the spirometer

New insights into endometriosis, predicting RNA folding, and the surprising career of the spirometer

Update: 2021-08-26
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News Intern Rachel Fritts talks with host Sarah Crespi about a new way to think about endometriosis—a painful condition found in one in 10 women in which tissue that normally lines the uterus grows on the outside of the uterus and can bind to other organs. Next, Raphael Townshend, founder and CEO of Atomic AI, talks about predicting RNA folding using deep learning—a machine learning approach that relies on very few examples and limited data. Finally, in this month's edition of our limited series on race and science, guest host and journalist Angela Saini is joined by author Lundy Braun, professor of pathology and laboratory medicine and Africana studies at Brown University, to discuss her book: Breathing Race into the Machine: The Surprising Career of the Spirometer from Plantation to Genetics. This week’s episode was produced with help from Podigy.
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New insights into endometriosis, predicting RNA folding, and the surprising career of the spirometer

New insights into endometriosis, predicting RNA folding, and the surprising career of the spirometer

Science