AIMC Topic: Knowledge Bases

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Quality and mechanical efficiency of automated knowledge-based planning for volumetric-modulated arc therapy in head and neck cancer.

Journal of applied clinical medical physics Dec 1, 2024
OBJECTIVES: This study aimed to examine the effectiveness of the automated RapidPlan in assessing plan quality and to explore how beam complexity affects the mechanical performance of volumetric modulated arc therapy for head and neck cancers.
Algorithms Head and Neck Neoplasms Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Knowledge Bases Organs at Risk
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Integrative analysis and knowledgebase construction of key candidate genes and pathways in age-related macular degeneration.

Experimental eye research Nov 28, 2024
Age-related macular degeneration is a retinal disease that severely impacts vision in the older population. Its gene-related heterogeneity has not been fully studied, increasing the burden of precise treatment, prevention and prognosis. Genetic varia...
Knowledge Bases Genetic Variation Humans Vascular Endothelial Growth Factor A Polymorphism, Single Nucleotide Macular Degeneration Genetic Predisposition to Disease Databases, Genetic
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Interpretation knowledge extraction for genetic testing via question-answer model.

BMC genomics Nov 9, 2024
BACKGROUND: Sequencing-based genetic testing is widely used in biomedical research, including pathogenic microorganism detection with metagenomic next-generation sequencing (mNGS). The application of sequencing results to clinical diagnosis and treat...
High-Throughput Nucleotide Sequencing Metagenomics Genetic Testing Knowledge Bases Humans Computational Biology
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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories.

Biomolecules Nov 6, 2024
We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in extracting targeted information quickly and efficiently from online medical literature repositories, such as PubMed, PubMed Central, and other biomedic...
Humans Machine Learning Knowledge Bases SARS-CoV-2 Data Mining PubMed Software COVID-19
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Knowledge-based inductive bias and domain adaptation for cell type annotation.

Communications biology Nov 5, 2024
Measurement techniques often result in domain gaps among batches of cellular data from a specific modality. The effectiveness of cross-batch annotation methods is influenced by inductive bias, which refers to a set of assumptions that describe the be...
Humans Computational Biology Knowledge Bases
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An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models.

International journal of molecular sciences Nov 3, 2024
The rapid growth of biomedical literature makes it challenging for researchers to stay current. Integrating knowledge from various sources is crucial for studying complex biological systems. Traditional text-mining methods often have limited accuracy...
Knowledge Bases Data Mining Humans Neural Networks, Computer Deep Learning Publications
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BioTRY: A Comprehensive Knowledge Base for Titer, Rate, and Yield of Biosynthesis.

ACS synthetic biology Oct 18, 2024
Synthetic biology is rapidly evolving into a data-intensive science that increasingly relies on massive data sets; one of its applications is the evaluation of the economic viability of fermentation processes. However, the key economic indicators, na...
Databases, Factual Fermentation Synthetic Biology Computational Biology Knowledge Bases
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Introducing high correlation and high quality instances for few-shot entity linking.

Neural networks : the official journal of the International Neural Network Society Oct 9, 2024
Entity linking, the process of connecting textual mentions in documents to canonical entities within a knowledge base, plays an integral role in a myriad of natural language processing tasks. A significant challenge prevalent within the field is the ...
Semantics Natural Language Processing Knowledge Bases Humans Neural Networks, Computer
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PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.

PeerJ Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Plant Diseases Knowledge Bases Disease Resistance Solanum tuberosum Data Mining Natural Language Processing Genes, Plant
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.

Journal of biomedical informatics Sep 10, 2024
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link predictio...
Natural Language Processing PubMed Humans Algorithms Knowledge Bases Data Mining
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