Browsing: AI

Northwestern basic scientists are leveraging artificial intelligence and machine learning to untangle complex intracellular processes.

Northwestern investigators have developed a deep learning-based method that can predict cognitive function capacity based on brain shape and structure, detailed in a study published in Scientific Reports.

Northwestern Medicine and Google are collaborating on a project to bring fetal ultrasound to developing countries by combining AI (artificial intelligence), low-cost hand-held ultrasound devices and a smartphone.

Of the estimated five million patients in the U.S. diagnosed with heart failure annually, nearly half will have heart failure with preserved ejection fraction (HFpEF) and at the forefront of HFpEF research are Feinberg investigators.

Shifting machine learning workflows to a proactive model could speed data collection and analysis, according to a viewpoint published in JAMA.

A new anatomy curriculum for the MD and PA programs integrates the HoloAnatomy software, which allows students to visualize every part of the body through a virtual, three-dimensional perspective.

A machine learning model can identify patients at risk of a rare cardiomyopathy, according to a recent study.

Feinberg is hosting the first annual Big Ten Augmented Intelligence Bowl, bringing together multi-disciplinary teams of investigators from institutions representing the Big Ten Academic Alliance to use AI to address health disparities.

A novel integrative computational technique allowed scientists to classify disease conditions at the molecular level using epigenomic data sets.

Take a look back at a handful of groundbreaking research discoveries that marked one of, if not the most, unprecedented and transformative years for Feinberg.