Results 91 to 100 of about 390,079 (317)

Single‐Nucleus Multi‐Omics Reveals Hypoxia‐Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You   +12 more
wiley   +1 more source

IoT Semantic Data Integration through Ontologies

open access: yes2022 IEEE International Conference on Services Computing (SCC), 2022
This work is partially funded by: Industrial Doctorates DI-2019 from Generalitat de Catalunya, project TIN2017-87610- R from MCIN/AEI/10.13039/501100011033, FEDER “Una manera de hacer Europa”, and project 2017-SGR-1749 from Generalitat de Catalunya. Also with the support of inLab FIB at UPC and Worldsensing.
openaire   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Interactive composition of WSMO based semantic web services in IRS-III [PDF]

open access: yes, 2004
The discovery and integration of services in a composition are challenging tasks due to the lack of semantic in the Web services' description. WSMO community is working on developing ontologies and infrastructures to support Semantic Web Services.
Domingue, John   +4 more
core   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

Ontologies for Smart Agriculture: A Path Toward Explainable AI—A Systematic Literature Review

open access: yesIEEE Access
Smart agriculture has grown significantly over the last few years, particularly with the integration of advanced technologies (e.g., the Internet of Things, robots, artificial intelligence, etc.), leading to the development of intelligent agricultural ...
Rima Grati   +2 more
doaj   +1 more source

IBIS: Semantic Data Integration at Work [PDF]

open access: yes, 2003
In this paper we present IBIS (Internet-Based Information System), a system for the semantic integration of heterogeneous data sources, which adopts innovative and state-of-the-art solutions to deal with all aspects of a complex data-integration environment, including query answering under integrity constraints and limitations on source access. IBIS is
ANDREA CALÌ   +5 more
openaire   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

open access: yesAdvanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang   +17 more
wiley   +1 more source

Architectures for Semantic Integration

open access: yes, 2005
no ...
Uschold, Michael, Grüninger, Michael
openaire   +3 more sources

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

open access: yesAdvanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen   +8 more
wiley   +1 more source

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