Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores Gradient-enhanced physics-informed neural networks for forwa..., contributing new insights to the field of Artificial Intelligence.
Survival improves when cancer is detected early. Insights must be translated into sensitive and specific early detection technologies and be appropriately evaluated to support practical clinical imple...
This research explores Electromagnetic absorption materials: Current progress and n..., contributing new insights to the field of Engineering & Technology.
Governments across the OECD are investing significant resources to address the immediate and long-term effects of the COVID-19 pandemic. This policy brief presents the views of a non-representative sa...
Nonlocal reaction-diffusion equations describe various biological and biomedical applications. This review will present the state of the art in the investigation of nonlocal reaction-diffusion models...
Transformers have recently lead to encouraging progress in computer vision. We hope this work will facilitate advanced transformer research in computer vision.
Abstract Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping of abilities to specific structures (for example, lesion studies) and fun...
BACKGROUND: The omicron variant (B.1.1.529) of SARS-CoV-2 has demonstrated partial vaccine escape and high transmissibility, with early studies indicating lower severity of infection than that of the...
Humans can naturally and effectively find salient regions in complex scenes. In this survey, we provide a comprehensive review of various attention mechanisms in computer vision and categorize them ac...
BACKGROUND: Alzheimer's disease is a progressive, irreversible, and fatal disease for which accumulation of amyloid beta is thought to play a key role in pathogenesis. ENGAGE did not meet its primary...
We provide two methods for monitoring reinfection trends in routine surveillance data to identify signatures of changes in reinfection risk and apply these approaches to data from South Africa's sever...
This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on family caregi...
The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role...
Topic models can be useful tools to discover latent topics in collections of documents. More specifically, BERTopic generates document embedding with pre-trained transformer-based language models, clu...
BACKGROUND: Mortality statistics are fundamental to public health decision making. In addition, further research is warranted to help distinguish the proportion of excess mortality that was directly c...
This research explores Global, regional, and national prevalence of, and risk facto..., contributing new insights to the field of Medicine & Biology.
This research explores Museum of spatial transcriptomics, contributing new insights to the field of Artificial Intelligence.
This research explores Environmental impact of renewable energy source based electr..., contributing new insights to the field of Physics & Space Science.
Predicting the structure of interacting protein chains is a fundamental step towards understanding protein function. From the predicted interfaces we create a simple function to predict the DockQ scor...
Identification of cell populations often relies on manual annotation of cell clusters using established marker genes. We also demonstrate how ScType distinguishes between healthy and malignant cell po...