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, ...

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

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

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

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

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 ...

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 ...

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

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 ...