Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

The global big data in healthcare market is set to expand from USD 78 billion in 2025 to USD 540 billion by 2035 at a CAGR of 19.20%. The integration of big data, predictive analytics, and AI will ...

However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is ...

What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

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.

By Paul McClure June 15, 2023 Researchers have developed a machine-learning model to identify chemicals that may combat aging Depositphotos View 1 Images ...