Abstract: Insulin is an ongoing disorder that has a chance to lead to a worldwide health crisis. The United Nations Diabetes Organization estimates that 382 million people worldwide have diabetes.

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...