Machine learning provides computational systems the ability to automatically learn and improve through experience and by the use of data without being explicitly programmed. Machine learning algorithms build a model based on "training data" to make predictions or decisions in novel datasets. Our projects on machine learning are related to transcriptome analyses, image recognition, and advanced text-mining. Using such approaches we can define gene signatures that predict the outcome of human diseases or to identify pathogens in microscopic images.