Integrating data mining with high-throughput genomics accelerates insights from genomic data, impacting precision medicine ...

Researchers have developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data.

By correcting for ancestral bias in publicly available datasets, PhyloFrame produces better outcomes predictions for ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...

University of Florida researchers are addressing a critical gap in medical genetic research—ensuring it better represents and ...

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...

To ensure that medical genetic research better represents and benefits people from all backgrounds, researchers at the ...

Artificial Intelligence (AI) has revolutionized countless industries, and healthcare is no exception. Among the most ...

The surge in digital data presents both unprecedented opportunities and formidable challenges across industries. A recent scoping survey sheds light on the transformative role of machine learning (ML) ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack. This means our ...

Advances in generative artificial intelligence and machine learning ... of health and medical data." More information: Hyunghoon Cho et al, Secure and federated genome-wide association studies ...