The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Deep neural networks have rapidly advanced, with many models demonstrating outstanding performance. However, robustness is crucial for ensuring the safety and stability of artificial intelligence, ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

For example, genetic algorithms are often employed to iteratively modify atomic configurations along energy gradients in the search for global or local minima on the energy landscape.

For example, genetic algorithms are often employed to iteratively modify atomic configurations along energy gradients in the search for global or local minima on the energy landscape.

For example, political leaders criticizing studies of “ transgender mice” propagate misinformation, since these studies are actually of transgenic mice—those in which genetic material from ...

A hybrid intelligent algorithm integrating Q-learning is innovatively designed, using a genetic algorithm as the main framework while embedding a quay crane allocation module and dynamically selecting ...

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

However, genetic algorithms can suffer from slow convergence, and might yield suboptimal solutions. In response to these challenges, this work presents a method to fine-tune a genetic algorithm for ...