Results 91 to 100 of about 4,778,507 (336)
Neural Hyperexcitability in Autism Spectrum Disorders
Despite the progress that has been made in research on autism spectrum disorders (ASD), the understanding of the biological basis of ASD to identify targets for novel, effective treatment remains limited.
Yukari Takarae, John Sweeney
doaj +1 more source
Pre-integration lateral inhibition enhances unsupervised learning [PDF]
A large and influential class of neural network architectures use post-integration lateral inhibition as a mechanism for competition. We argue that these algorithms are computationally deficient in that they fail to generate, or learn, appropriate ...
Johnson, M. H., Spratling, M. W.
core +3 more sources
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
Developmental changes in GABAergic mechanisms in human visual cortex across the lifespan
Functional maturation of visual cortex is linked with dynamic changes in synaptic expression of GABAergic mechanisms. These include setting the excitation-inhibition balance required for experience-dependent plasticity, as well as, intracortical ...
Joshua G A Pinto+4 more
doaj +1 more source
Relationship between membrane phosphatidylinositol-4,5-bisphosphate and receptor-mediated inhibition of native neuronal M channels [PDF]
The relationship between receptor-induced membrane phosphatidylinositol-4'5'-bisphosphate (PIP2) hydrolysis and M-current inhibition was assessed in single-dissociated rat sympathetic neurons by simultaneous or parallel recording of membrane current and ...
Abogadie, FC+6 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Study of Modern Control Methodologies Applied to Tumor Growth under Angiogenic Inhibition [PDF]
Cancer treatment is one of the most important research fields of modern medicine. In the last decades, targeted molecular therapies showed pr osperous results. These treatments achieve tumor regression with limited side-effects. Mathem atical models
Angiogenic Inhibition+5 more
core +1 more source
The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson+7 more
wiley +1 more source
Treating verbal working memory in a boy with intellectual disability
The present case study investigates the effects of a cognitive training of verbal working memory that was proposed for Davide, a fourteen-year-old boy diagnosed with mild intellectual disability.
Margherita eOrsolini
doaj +1 more source
Emotional response inhibition is greater in older than younger adults [PDF]
Emotional information rapidly captures our attention and also often invokes automatic response tendencies, whereby positive information motivates approach, while negative information encourages avoidance.
Greif, Taylor R+2 more
core +2 more sources