Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

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 ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

DeepRM is a deep learning-based framework for RNA modification detection using Nanopore direct RNA sequencing. This repository contains the source code for training and running DeepRM. If everything ...

Complex diseases arise from the intricate interactions between multiple genetic factors and environmental influences. Genome-Wide Association Studies (GWAS) are essential for uncovering the genetic ...

Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

Background: Alzheimer’s disease (AD), the most common form of dementia, has treatments that slow but do not stop cognitive decline. Additional treatments are based on its pathogenic mechanisms are ...

Bioinformaticians have been utilizing machine learning for years. However, the introduction of powerful and easily accessible generative AI tools is a new horizon. Learning how to use these tools to ...