Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model

What is it about?

Growing evidence supports the feasibility of constructing genetically engineered non-human primates to study mental illness, but there are no clear roadmaps for how to establish cross-species translational mapping under disease conditions. The authors proposed cross-species machine learning method for defining circuit endophenotypes across multiple psychiatric disorders. They found features learned from transgenic monkeys enable inform diagnosis classification of autism-related disorders and dissection of their underlying circuits, suggesting great heuristic value of identifying and investigating biologically homogeneous samples in future clinical studies.

Featured Image