Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

There's an iconic scene at the end of the 1985 film "Back to the Future" when Doc Brown returns from 2015 to warn Marty McFly and his future wife, Jennifer, that their future children have "problems." ...

The predictive variables assessed were age at EGPA diagnosis, baseline eosinophil count, history of chronic sinusitis prior to diagnosis, and glucocorticoid-treated asthma at diagnosis.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.