AIMC Topic:
Data Mining
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Lit-OTAR framework for extracting biological evidences from literature.
Bioinformatics (Oxford, England)
Mar 29, 2025
SUMMARY: The lit-OTAR framework, developed through a collaboration between Europe PMC and Open Targets, leverages deep learning to revolutionize drug discovery by extracting evidence from scientific literature for drug target identification and valid...
[Intelligent mining, engineering, and design of proteins].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
Natural components serve the survival instincts of cells that are obtained through long-term evolution, while they often fail to meet the demands of engineered cells for efficiently performing biological functions in special industrial environments. ...
[Artificial intelligence-assisted design, mining, and modification of CRISPR-Cas systems].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
With the rapid advancement of synthetic biology, CRISPR-Cas systems have emerged as a powerful tool for gene editing, demonstrating significant potential in various fields, including medicine, agriculture, and industrial biotechnology. This review co...
Text phrase-mining in identifying and classifying maternal proteins and genes across preeclampsia and similar pathologies.
Physiological reports
Mar 1, 2025
This study aims to demonstrate that text phrase-mining and natural language processing (NLP) can annotate huge quantities of obstetrics textual data for the discovery and evaluation of maternal protein/gene (MPG)-disease interactions involved in the ...
Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of P...
RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: To develop an advanced multi-task large language model (LLM) framework for extracting diverse types of information about dietary supplements (DSs) from clinical records.
Assessing the performance of generative artificial intelligence in retrieving information against manually curated genetic and genomic data.
Database : the journal of biological databases and curation
Feb 17, 2025
Curated resources at centralized repositories provide high-value service to users by enhancing data veracity. Curation, however, comes with a cost, as it requires dedicated time and effort from personnel with deep domain knowledge. In this paper, we ...
PanKB: An interactive microbial pangenome knowledgebase for research, biotechnological innovation, and knowledge mining.
Nucleic acids research
Jan 6, 2025
The exponential growth of microbial genome data presents unprecedented opportunities for unlocking the potential of microorganisms. The burgeoning field of pangenomics offers a framework for extracting insights from this big biological data. Recent a...
Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.
Health informatics journal
Jan 1, 2025
Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group of interdependent metabolic threats that contribute to the emergence of diseases that can lead to death. This study was designed to better predict th...
Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the USA alone. The majority of research in ADRD is conducted using post-mortem samples of brain tissue or carefully recruited clinical trial patients. While these res...
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