Can telemedicine and exercise apps improve the health of people with type 2 diabetes and coronary heart disease? A large study led by the Technical University of Munich (TUM) shows that the positive ...

A review of human heart models—cardiac organoids and organ chips—showed that each method has unique advantages in different research contexts, including cardiac disease modeling and drug development.

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

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

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

Researchers have used AI to find adalimumab effective for iMCD, highlighting the potential of machine learning in discovering ...

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).

People's bodies can be old or young for their chronological age, depending, in part, on the amount and types of stressors ...

Abstract: Parkinson’s Disease ... using an RFE with a Logistic Regression classifier and evaluates the feature significance in Parkinson’s disease prediction using eXplainable Artificial Intelligence.

Objective: Stroke–heart syndrome (SHS) leads to poorer prognosis in patients ... Therefore, the primary objective of this study was to establish a nomogram-based risk prediction model for SHS ...