Michael Alexander Riegler

This paper introduces an AI system that forecasts future embryo morphology in time-lapse videos using Convolutional LSTM layers, showing accurate predictions for cleavage and blastocyst stages.

This study uses machine learning to analyze motor activity data from depressed patients and healthy controls, finding that a deep neural network achieves high accuracy in distinguishing between the groups.