The open-source software toolkit aims to predict whether individuals will develop progressive and chronic diseases years before symptoms appear, potentially transforming how preventive healthcare is delivered. It can identify at-risk individuals with an accuracy of 85-99% and explain its outputs in ways that humans can understand.

A specialized model used by researchers is becoming a valuable tool for studying human brain development, diseases and potential treatments, according to a team of scientists at Rutgers University-New Brunswick.  Known as chimeric brain models, these laboratory tools provide a unique way to understand human brain functions in a living environment, which may lead to new and better therapies for brain disorders, researchers said in a review article in Neuron.