Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).

It’s also important to use sex-specific measurements ... and conditions that could predict or increase their risk future heart disease can develop. For example, preeclampsia or pregnancy-induced ...

Heart health is becoming an increasingly ... tests might only detect issues after the disease has inflicted harm. "The markers we use to diagnose a condition are late markers or maybe even the ...

Though highly effective, medications for the prevention of chronic kidney disease progression are under-utilized, emphasizing the need for better use of prognostic tools.

The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the ...

Data collected by wearable technology can identify disease flare-ups up to ... intelligence to develop algorithms using wearable device data to predict flares on an individualized basis.

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

Heart disease remains the leading cause of death in the United States, accounting for about 1 in every 5 deaths, according to the CDC. Early detection plays a critical role in improving patient ...