The new tool could help predict obesity-related health risks earlier and reshape prevention strategies, researchers say.

A hidden donor-recipient HLA mismatch may increase the risk of life-threatening immune complications after cord blood ...

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has generated over a dozen FDA-approved therapeutics and drugs in late-stage ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Abstract: The aim of this paper is to explore the production decision-making problem based on simulated annealing algorithm and genetic algorithm, especially for the design and optimisation of ...

A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...

A proprietary machine learning algorithm (AvertD) claims that it can determine your risk for opioid use disorder based on your genetics. The test is meant to be used to inform prescribing decisions—so ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

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 ...