Despite the growing adoption of high-content screening (HCS), analyzing the complex imaging data produced by these systems is particularly time-consuming. However, recent advances in deep learning ...

The scanR high-content screening (HCS ... system’s AI automatically analyzes data in an assay-based workflow. The deep-learning technology can detect cells, nuclei and subcellular objects ...

In an academic paper published this week, the team detailed how a deep learning tool that showed ... while helping the workflow of nursing staff. Google said its AI has a "specialist-level ...

PIQE, super-resolution deep-learning reconstruction technology for ... provides CT lung cancer screening images of high quality and low noise at the radiation dose closer to a typical chest ...

AI is frequently cited as a miracle worker in medicine, especially in screening processes ... Google Health created a deep learning system that looks at images of the eye and looks for evidence ...

How do you connect the big idea (businesses need to get started on deep learning) to the specific topic at hand (set up a workflow)? Here are the five main steps on setting up a deep learning ...

With many societies aging and limited medical personnel, DL models reliant on self-monitoring and tele-screening of diseases are becoming more routine. Yet, deep learning algorithms are generally ...

but at present these screening programs capture only a fraction of the individuals who could benefit. Sybil could help, say researchers. Sybil is a validated deep learning model that predicts ...

Despite the growing adoption of high-content screening (HCS), analyzing the complex imaging data produced by these systems is particularly time-consuming. However, recent advances in deep learning ...