The Variant Workbench enables researchers to explore genetic data in a single, integrated workspace, linking genomic information with clinical conditions. By reducing data complexity, the tool facilitates scientific discovery and accelerates pace of research.
The new AI model leverages hypergraphs to quickly and accurately identify therapeutic gene targets for diseases. HIT outperformed existing models in all tested metrics, demonstrating its accuracy in classifying therapeutic gene targets with great precision.
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The Kids First DRC has introduced an upgraded data portal to streamline big data search and analysis, improving collaborative pediatric research outcomes. The new portal integrates diverse datasets, including genomic information from the Children's Brain Tumor Network, to foster cross-disciplinary research.
Biodiversity researchers can now incorporate nanopublications into their manuscripts to future-proof their assertions on biological taxa and organisms. The newly released nanopublication workflow enables authors to create machine-actionable, FAIR data that can be easily traced back to its origin.
Researchers create simulation scenarios using ontologies to test autonomous driving systems, uncovering weaknesses and developing adaptive compensation methods to ensure system reliability and safety. The approach enables the detection of critical test cases that may not be feasible in real-world testing.
A new NSF-funded project at UNC-Chapel Hill aims to make expertise in comparing anatomical or physiological knowledge about different organisms accessible to computers. The project will develop tools for semantic ancestral character reconstruction and enrichment, enabling researchers to study how phenotypes evolve along the tree of life.
A new fuzzy ontology-based system acts as a virtual moderator to bridge positions in negotiations. The system can be applied to everyday decisions and complex EU discussions.
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Ontologies enable computers to transform information into knowledge by attaching meaning to data. This allows scientists to access and analyze large datasets more efficiently, facilitating breakthroughs in plant science and beyond.
Scientists can now read large numbers of articles simultaneously using powerful digital tools that support strategic reading. These tools leverage ontologies to provide information on unambiguous term identification and relationships, allowing computers to assist scientists in their reading process.
Researchers aim to create a 'web of meaning' by developing languages and tools that make it easier for computers to understand web pages. By distributing ontologies, search engines can achieve more accurate and relevant results, especially in areas with no standard rules of searching.