Latest AI and machine learning research in risk management for healthcare professionals.
Epithelial cells form diverse structures from squamous spherical organoids to densely packed pseud...
Compositionality and compositional generalization--the ability to understand novel combinations of...
JEDEC has introduced the Per Row Activation Counting (PRAC) framework for DDR5 and future DRAMs to...
Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitat...
In this paper, we introduce holiAtlas, a holistic, multimodal and high-resolution human brain atla...
In vitro fertilization-embryo transfer (IVF-ET) stands as one of the most prevalent treatments for...
The quality of the part fabricated from the Additive Manufacturing (AM) process depends upon the p...
Despite progresses in data engineering, there are areas with limited consistencies across data val...
With the wide application of new technologies such as large language models and generative artificia...
The computation of collision probability ($\mathcal{P}_c$) is crucial for space environmentalism a...
Autonomous agents represent an inevitable evolution of the internet. Current agent frameworks do n...
This article argues that the integration of artificial intelligence (AI) into healthcare, particular...
Stress is a natural response of the body to perceived threats, and it can have both positive and neg...
Progress at the intersection of artificial intelligence and pediatric neuroimaging necessitates larg...
Sleep and circadian rhythms both contribute to cognitive performance, but the underlying neuronal ne...
To construct and validate a deep-learning (DL) model for the automatic quantification of temporalis ...
Songbirds are essential animal models for studying neuronal and behavioral mechanisms of learned voc...
Propofol is a widely used sedative-hypnotic agent for critically-ill patients requiring invasive mec...
The Social Determinants of Health (SDoH) have long been recognised as significant drivers of health ...
Several clinical prediction models have been developed using electronic health records data to help ...
Randomized controlled trials (RCTs) can produce valid estimates of the benefits and harms of therape...