Using the power of artificial intelligence and machine learning technology, scientists from Weill Cornell Medicine have developed a more effective prediction model how patients with bladder bladder cancer will react to chemotherapy. The model uses the data of the whole tumor imaging and the analysis of gene expression in a way that exceeds previous models […]
Abstract: A team of researchers from the Dana-Farber Cancer Institute, Broad Institute of Mit and Harvard, Google and Columbia University created a model of artificial intelligence that can predict which genes are expressed in any type of human cells. The model, called Epibert, has been inspired by Bert, a deep learning model designed to understand […]
Announcement of a new publication in the magazine. Proteins are essential macromolecules that perform functions according to their conformational dynamics. The study of conformational changes induced by protein mutations is a standard approach used to understand the underlying mechanisms mutation-related physiological and pathological processes. To increase the efficiency and reduce the cost of biological experiments, […]