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

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

While Japan is renowned among mountaineers for its challenging mountain terrain, it is also known for its high number of ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in real ...

Artificial Intelligence (AI) is revolutionizing the public health landscape by enabling sophisticated data analytics, ...

AI has entered a new phase. It is no longer just about building larger models or accessing more data. Today’s competition ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

We are entering a time where machines are no longer limited to fixed commands. They are beginning to sense, learn, and ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

A new data analysis, published in Vaccine has found that women and menstruating people who had one or more mRNA-based ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...