Whether we are predisposed to particular diseases depends to a large extent on the countless variants in our genome. However, particularly in the case of genetic variants that only rarely occur in the ...

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines, which despite their high energy potential, have until now been ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...

EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...