By analyzing thousands of genetic risk variants, a new algorithm may be able to predict your risk of developing chronic kidney disease decades before onset.

Genetic algorithms are a clever and effective way to solve certain difficult optimization problems, and you can find them put to practical use from time to time.

However, most of the AI-generated algorithms have databases with populations of European origins and they ignore the genetic and morphological diversity of human populations of around the world.

The analysis shows that a stationary monetary equilibrium of the Kareken-Wallace model is not stable under the genetic algorithm dynamics. The fluctuations in the genetic algorithm exchange rate are ...