In study participants, C-reactive protein levels were used to measure inflammatory severity, serum creatinine levels to gauge renal function, and estimated glomerular filtration rate was calculated ...

Scientists develop AI tool to predict heart failure risk - ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

BHF-funded researchers have developed a new AI tool can predict heart failure at least five years before it develops using ...

University of Tartu public health researcher Laura Lõo helped develop new models that detect heart failure risk much earlier.

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

"To understand the future, you can’t make prophecies—you have to understand the past," argues Frank Diana.

If the only way to understand a system is to observe it, then your observability infrastructure is not operational overhead.

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Scientists from Toronto’s University Health Network developed an AI algorithm capable of accurately predicting heart failure ...