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.
The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the Europe...
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health prom...
The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the...
Most recent semantic segmentation methods adopt a U-Net framework with an encoder-decoder architecture. The experimental results suggest that our UCTransNet produces more precise segmentation performa...
A decade after its introduction, Industrie 4.0 has been established globally as the dominant paradigm for the digital transformation of the manufacturing industry. This enables the creation of digital...
This paper presents TS2Vec, a universal framework for learning representations of time series in an arbitrary semantic level. Additionally, we present a simple way to apply the learned representations...
Heterogeneity across clients in federated learning (FL) usually hinders the optimization convergence and generalization performance when the aggregation of clients' knowledge occurs in the gradient sp...
Federated learning (FL) and split learning (SL) are two popular distributed machine learning approaches. Additionally, as in SL, its communication efficiency over FL improves with the number of client...
Breastfeeding and human milk are the normative standards for infant feeding and nutrition. The Centers for Disease Control and Prevention (CDC) and The Joint Commission monitor breastfeeding practices...
This research explores Challenges for <mml:math xmlns:mml="http://www.w3.org/1998/M..., contributing new insights to the field of Physics & Space Science.
Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience. Spatial -omics m...
Machine learning has shown utility in detecting patterns within large, unstructured, and complex datasets. Therefore, the generalizability of machine learning models benefits from feature selection, w...
This research explores UNetFormer: A UNet-like transformer for efficient semantic s..., contributing new insights to the field of Artificial Intelligence.
We report the updated classification of inborn errors of immunity, compiled by the International Union of Immunological Societies Expert Committee. These advances in discovering the genetic causes of...
This article presents a advanced review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of ar...
The number of cancer survivors continues to increase in the United States due to the growth and aging of the population as well as advances in early detection and treatment. These treatment disparitie...
BACKGROUND: The first COVID-19 vaccine outside a clinical trial setting was administered on Dec 8, 2020. However, inadequate access to vaccines in low-income countries has limited the impact in these...
This research explores Graph neural network for traffic forecasting: A survey, contributing new insights to the field of Artificial Intelligence.
In recent years, immunotherapy represented by immune checkpoint inhibitors (ICIs) has led to unprecedented breakthroughs in cancer treatment. Thus, targeted therapies (inducers or inhibitors) against...
New findings cast doubt on whether suppressing the RNA-binding protein PTBP1 can force astrocytes to become dopaminergic neurons.