Crops increasingly need to thrive in a broader range of conditions, including drought, salinity, and heat. Traditional plant ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

These sequences are extremely prone to mutations and rank among the most functionally important regions in the entire human genome, together with protein-coding sequences,” said Donate Weghorn, a ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...

Abstract: The increasing demand for responsive and intuitive assistive walking devices, driven by an aging population, underscores the need for intelligent systems powered by emerging machine learning ...

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 repository contains the MATLAB implementation of a genetic algorithm to optimize stock portfolios based on their Sharpe Ratio. The algorithm employs evolutionary principles such as selection, ...

Abstract: Essential proteins play a vital role in the preparation of antibiotics, disease diagnosis, and understanding the structure of an organism. It is crucial for cell survival and is associated ...