AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...

Researchers hope that a better understanding of which genes contribute to excess weight could help with prevention starting in childhood. By Gina Kolata Researchers have known for decades that ...

This repository contains a C++ program that solves the Knapsack Problem using a Genetic Algorithm. The Knapsack Problem is a classic optimization problem where we aim to maximize the total value of ...

John Peterson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

I purposely did not title this post "Genetic Grief" because it is crucial to understand that everyone who builds their family using donor conception—meaning they do not pass on their genetics—will ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

This qualitative interview study enrolled patients diagnosed with prostate cancer who had been treated at a safety-net hospital and had received a referral for genetic testing in the previous 12 ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Algorithmic risk scores might be obscuring a broader issue with how the judicial system works. Algorithmic risk scores might be obscuring a broader issue with how the judicial system works. is a ...