Medical Science

 


            The key to understanding how the most aggressive lymphomas arise and resist current therapies may lie in mutations that disrupt a critical natural selection process among antibody-producing B cells, according to a multi-institutional preclinical study led by Weill Cornell Medicine investigators.


Researchers from HSE University and the Moscow State University of Medicine and Dentistry have developed a machine learning model that can predict the word about to be uttered by a subject based on their neural activity recorded with a small set of minimally invasive electrodes.











Comments

Popular posts from this blog

Gorringe seamount expedition reveals threats facing ocean biodiversity

US Technology Leaders Tap NVIDIA AI Software to Transform World’s Industries

Creating the perfect ecosystem for cybersecurity