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 ...

AI-driven genomics startups leverage technology to analyze genetic data, predict predispositions, and offer personalized ...

A new study suggests clinical utility of the first FDA-approved genetic test to help gauge an individual’s risk for opioid ...

These advances will culminate in the next generation of intelligent platforms which continuously learn and evolve alongside a ...

However, DWTA is a highly complex constrained multi-objective combinatorial optimization problem. An improved elitist non-dominated sorting genetic algorithm-II (NSGA-II) called the non-dominated ...

The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...

This study provides a valuable new resource to investigate the molecular basis of the particular features characterizing the pipefish embryo. The authors found both unique and shared gene expression ...

By creating gene editors not found in nature, or optimizing existing editors, AI can improve the accuracy, effectiveness, and accessibility of gene editing.

DataGlobal Hub is a leading content platform focused on data science and artificial intelligence. Their mission is to empower ...

Explore how artificial intelligence AI revolutionizes genomics by enhancing gene editing decoding human DNA and advancing precision medicine Learn more about its transformative impact on the website G ...

Dr Geethika Nutakki: Shardul Nautiyal, Mumbai Friday, January 31, 2025, 08:00 Hrs [IST] India is on the brink of a healthcare ...

The innovation, he says, could transform the way scientists measure and address genomic breaks in gene-editing systems.