Glioma is the most common form of primary brain tumor. Demographically, the risk of occurrence increases until old age. Here we present a novel computational model to reproduce the probability of glioma incidence across the lifespan. Previous mathema...
I have a 8 year old nephew who is diagnosed with high grade glioma last night. We are out to take a second opinion but I have read about it or talked to my doctor friends they also that it is complete...
Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of diabetic patients. Diabetic coma which happens w...
I stumbled across the instagram account @ chicagosanitation It's a fake account impersonating the Chicago Streets and Sanitation department. They post strange brainrot AI content involving their masc...
Python package of computational models relevant to invertebrate processing, from the environment to sensor responses and to deeper neural responses in the invertebrate brain. (⭐ 3)
massive weight from eating everything it sees underwater. Ballerina Cappuccina A female ballerina wearing a tutu and pointe shoes with a cappuccino mug as
4 days ago · AI algorithm enables tracking of vital white matter pathways Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, …
Hi everyone! I’m working on a project and brainstorming some ideas to improve popular apps. I’m curious to see what your biggest pain points or even minor ones are when using Google Maps....
spokesman for a sports website OPENSports.com, the brainchild of Mike Levy, founder and former CEO of CBS Sportsline.com. Rodman also writes a blog and occasionally
In a pioneering classic, Warren McCulloch and Walter Pitts proposed a model of the central nervous system. Motivated by EEG recordings of normal brain activity, Chvátal and Goldsmith asked whether or not these dynamical systems can be engineered to...
Automatic magnetic resonance (MR) image processing pipelines are widely used to study people with multiple sclerosis (PwMS), encompassing tasks such as lesion segmentation and brain parcellation. However, the presence of lesion often complicates thes...
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS les...