The following is a summary of “Construction of a machine learning-based interpretable prediction model for acute kidney injury in hospitalized patients,” published in the March 2025 issue of ...

The following is a summary of "Optimizing heart disease diagnosis with advanced Machine learning models: a comparison of ...

New data show the machine learning algorithms may be used to detect PCWP elevation, aiding in assessment of heart failure with preserved ejection ...

A MACHINE learning model can accurately predict in-hospital mortality in patients with Takotsubo cardiomyopathy (broken heart ...

Among people with inflammatory bowel disease (IBD), conditions developed at or before age 60 years and their age of onset are ...

In a recent development, researchers have created an AI-driven model capable of predicting mortality risk in sepsis patients admitted to intensive care units (ICUs). Leveraging cutting-edge ...

A new machine learning model predicts active tuberculosis in people with HIV more accurately than current tests, offering a ...

Mohamed Samy Abdallah ’21, pursuing a PhD in applied physics at Harvard University, is developing machine learning models to accelerate and improve computational techniques for material discovery and ...