Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...

Researchers have developed a method that combines AFM and AI to accurately profile macrophage mechanophenotypes.

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...