Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.

Our study therefore reveals disease-relevant information contained in a range of both generic and more specific fluorescent markers and establishes the use of image-based deep learning methods for rapid, automated and unbiased identification of biological hypotheses.