This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

In structural MRI, the signal-to-noise ratio is critical. Discover how denoising algorithms can help to obtain clearer ...

Aptima Inc., renowned for its expertise in human-centered engineering, has garnered attention with its recent contract award ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

GE HealthCare is launching a new imaging research collaboration with the University of California, San Francisco, aimed at ...

A recent study mapping the brain before and after pregnancy could offer insights into postpartum mood disorders and uncover ...

Ophthalmology Times - ophthalmology news, articles, and events in a timely and accurate manner for members of the ophthalmic ...

Neuroplasticity represents the brain's capacity to adapt through neural network modifications, crucial for understanding both normal cerebral functions and ...

The new technique extends the capabilities of super-resolution microscopy, which has previously been limited to imaging cultured ... it alters the physiology of neural circuits.

Investigating cognitive flexibility The researchers aimed to develop a framework to explain how neural networks compute context-dependent selection, and link neural and behavioral variability ...