Studies of genetics conducted in yeast cells, human neurons, mice or other model systems often reveal networks of genes that ...

A newly developed open-source tool designed for rigorous reanalysis of genomic data is highly effective at detecting new rare disease diagnoses.

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

Within-species genetic diversity is crucial for the resilience of populations, and thus their long-term persistence in a rapidly changing world. Genetic diversity underpins the variation in species’ ...

Understanding how genes influence complex behaviors remains one of biology's most fascinating challenges. Now, however, in a recent study, researchers have compiled a comprehensive dataset documenting ...

UPDATE: Jun. 4, 2026, 3:38 p.m. EDT — This article has been updated with a statement from Reddit. In recent years, brands and spammers alike have been using Reddit to manipulate AI chatbots by ...

People who exercise regularly have a lower risk of heart problems linked to a genetic condition, according to a new study. Researchers found that people who have higher levels of physical activity ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.