MAyFAIR: Molecular identification by machine learning analysis of atomic force microscopy images

Quasar Science Resources collaborates with the Scanning Probe Microscopy Theory & Nanomechanics (SPMTH) research Group (Department of Theoretical Condensed Matter Physics at the Universidad Autonoma de Madrid (Autonomous University of Madrid, UAM) in the development of an efficient method to identify the structure and chemical composition of individual molecules based […]

GenObIA: Artificial Intelligence to tackle Obesity

Quasar Science Resources joins the GenObIA team. Since 1998 the World Health Organization (WHO) considers obesity as a global epidemic with a great risk for public health. The goal of GenObIA is to develop artificial intelligence (AI) algorithms from socioeconomic, cultural, physical and nutritional information to predict the risk of […]