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

2 years ago
Anonymous $drS9DEX_Sj

http://www.sciencemag.org/podcast/new-insights-endometriosis-predicting-rna-folding-and-surprising-career-spirometer

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.