Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers have now developed a 3D-printed 'brain-like environment' ...

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of ...

In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties. In order to convert financial time series into 2-D ...

With the news that a third person has been implanted with Elon Musk's Neuralink brain chip, many have been left with questions ... These can record and decode neural signals, which are sent back via ...

Learn More A new neural-network architecture developed by researchers ... “We argue that in an effective learning paradigm, similar to [the] human brain, there are distinct yet interconnected ...

An Image Recognition Model That uses a Convolution Neural Network with Tensorflow to be able to tell an animal from a non-animal image ...

Firstly, fuzzy graphs are constructed to describe the associations between pathogenies using fuzzy memberships ... feature information across brain regions and genes. Finally, a Brain-Inspired Fuzzy ...

A third person has received an implant from Elon Musk’s brain-computer ... trials on people "using either less invasive methods or more versatile approaches" that combine neural recording ...

Locally, Mayfield is working with TriHealth, Bon Secours Mercy Health, The Christ Hospital Health Network, and St. Elizabeth Healthcare to establish the Brain Tumor Institute. The institute won’t be a ...

In this context, we will also explore the clinical applications of epigenetic research, such as the development of epigenetic biomarkers for the early detection and prognosis of cancer. Unlike genetic ...

If we go to the loo we've got to be equipped with our phones - it's like a disease we can't shake. So, what would happen to your brain if by some miracle you do manage to exile yourself from social ...

achieving high recognition accuracy and speed in deep learning-based brain tumor recognition remains challenging. To address these issues, we propose a Dual-Branch Ensemble and Gated Global-Local ...