Juan Uriel Legaria Peña

• National Autonomous University of Mexico

An open problem in data science is that of anomaly detection. Anomalies are instances that do not maintain a certain property that is present in the remaining observations in a dataset. Several anomaly detection algorithms exist, since the process itself is ill-posed mainly because the criteria that separates common or expected vectors from anomali...

Cell-based models provide a helpful approach for simulating complex systems that exhibit adaptive, resilient qualities, such as cancer. Their focus on individual cell interactions makes them a particularly appropriate strategy to study cancer therapies' effects, which are often designed to disrupt single-cell dynamics. In this work, we propose them...

Cell-based models provide a helpful approach for simulating complex systems that exhibit adaptive, resilient qualities, such as cancer. Their focus on individual cell interactions makes them a particularly appropriate strategy to study the effects of cancer therapies, which often are designed to disrupt single-cell dynamics. In this work, we also p...

Actualmente, existe una creciente necesidad de monitorear fuera de la clínica biomarcadores como la frecuencia cardiaca. Esto ha llevado a desarrollar métodos que aprovechen sensores accesibles a los pacientes, como las cámaras de sus teléfonos. Particularmente, se han establecido métodos de video para extraer el pulso a partir de los movimientos c...

Pathologies in which homeostatic regulatory mechanisms are affected tend to impact multiple systems which are connected through an extensive network. Statistical analysis of time series has been explored as a tool to retrieve information about the underlying regulatory dynamics of these networks, to detect subtle changes that could lead to the deve...