Abstract: Methods, systems and computer program products for transferring knowledge using machine learning techniques by automatically generating training datasets are provided. New training datasets based on target datasets are automatically generated and used in machine learning techniques to perform tasks on images. One of the main benefits is the possibility to transfer the knowledge learned in one domain to another domain in which extracting data or labeling images would be costly or simply infeasible. The methods and systems also provide image training sets based on image target sets which augments data in a more efficient way and improves the content of the training set and the prediction of the machine learning techniques.

Abstract: The invention is directed to combinations of acamprosate and ribavirin, to pharmaceutical compositions, kits and treatment methods for the treatment or prevention of neurological damage.

Abstract: The present invention relates to an algorithm by which phenotypic features of individuals can be calculated and classified to evaluate the overall health of an individual, and particularly skin aging. More particularly, the present invention relates to methods and systems for diagnosing the perceived age of an individual. The invention also relates to methods useful to define products or treatments to reduce the perceived age, to evaluate the efficacy of products and treatments, and to benchmark the product or treatments in order to determine its market value and customer claims.

Abstract: The invention features novel pharmaceutical combinations useful for the treatment of neurological diseases, specifically neurodegenerative diseases. The novel pharmaceutical combinations of the invention demonstrate additive or synergistic effect in silico and in vivo. The invention also relates to methods of treatment of neurological and neurodegenerative diseases including the pharmaceutical combinations of the invention.

Abstract: The present application relates to methods and systems of identifying molecules or processes of biological interest by using knowledge discovery in biological data. In particular, the present application describes new methods of creating a biological map, new methods of codifying such map, new methods of analyzing such map and new methods of identifying molecules and processes of biological interest. The present application provides methods and systems to identify new and useful direct or indirect therapeutic targets, molecular modulators, adverse events effectors, disease biomarkers, genetic biomarkers, safety-related biomarkers, diagnostic molecules, hormones, metabolites, or metabolic effectors of any type.