AIMC Topic: Semantics

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Patient and Graph Embeddings for Predictive Diagnosis of Drug Iatrogenesis.

Studies in health technology and informatics
In the context of the IA.TROMED project we intend to develop and evaluate original algorithmic methods that will rely on semantic enrichment of embeddings by combining new deep learning algorithms, such as models founded on transformers, and symbolic...

Semantic Anomaly Detection in Medical Time Series.

Studies in health technology and informatics
The main goal of this project was to define and evaluate a new unsupervised deep learning approach that can differentiate between normal and anomalous intervals of signals like the electrical activity of the heart (ECG). Denoising autoencoders based ...

A representation model for biological entities by fusing structured axioms with unstructured texts.

Bioinformatics (Oxford, England)
MOTIVATION: Structured semantic resources, for example, biological knowledge bases and ontologies, formally define biological concepts, entities and their semantic relationships, manifested as structured axioms and unstructured texts (e.g. textual de...

Enriching contextualized language model from knowledge graph for biomedical information extraction.

Briefings in bioinformatics
Biomedical information extraction (BioIE) is an important task. The aim is to analyze biomedical texts and extract structured information such as named entities and semantic relations between them. In recent years, pre-trained language models have la...

MELODI Presto: a fast and agile tool to explore semantic triples derived from biomedical literature.

Bioinformatics (Oxford, England)
SUMMARY: The field of literature-based discovery is growing in step with the volume of literature being produced. From modern natural language processing algorithms to high quality entity tagging, the methods and their impact are developing rapidly. ...

LBERT: Lexically aware Transformer-based Bidirectional Encoder Representation model for learning universal bio-entity relations.

Bioinformatics (Oxford, England)
MOTIVATION: Natural Language Processing techniques are constantly being advanced to accommodate the influx of data as well as to provide exhaustive and structured knowledge dissemination. Within the biomedical domain, relation detection between bio-e...

Large-scale entity representation learning for biomedical relationship extraction.

Bioinformatics (Oxford, England)
MOTIVATION: The automatic extraction of published relationships between molecular entities has important applications in many biomedical fields, ranging from Systems Biology to Personalized Medicine. Existing works focused on extracting relationships...

Similarity Calculation, Enrichment Analysis, and Ontology Visualization of Biomedical Ontologies using UFO.

Current protocols
The rapid growth of biomedical ontologies observed in recent years has been reported to be useful in various applications. In this article, we propose two main-function protocols-term-related and entity-related-with the three most common ontology ana...

Big Data Analytics + Virtual Clinical Semantic Network (vCSN): An Approach to Addressing the Increasing Clinical Nuances and Organ Involvement of COVID-19.

ASAIO journal (American Society for Artificial Internal Organs : 1992)
The coronavirus disease 2019 (COVID-19) pandemic has revealed deep gaps in our understanding of the clinical nuances of this extremely infectious viral pathogen. In order for public health, care delivery systems, clinicians, and other stakeholders to...

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis.

Bioinformatics (Oxford, England)
MOTIVATION: The transcriptomic data are being frequently used in the research of biomarker genes of different diseases and biological states. The most common tasks there are the data harmonization and treatment outcome prediction. Both of them can be...