Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

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 ...

École Polytechnique Fédérale de Lausanne researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines. vertical-axis wind ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...

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, ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

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% ...