AIMC Topic: Biomedical Research

Clear Filters Showing 241 to 250 of 581 articles

How wide is the application of genetic big data in biomedicine.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Dec 9, 2020
In the era of big data, massive genetic data, as a new industry, has quickly swept almost all industries, especially the pharmaceutical industry. As countries around the world start to build their own gene banks, scientists study the data to explore ...
Mental Disorders Precision Medicine Biomedical Research Humans Artificial Intelligence Big Data Genomics Data Mining Animals Cardiovascular Diseases Neoplasms
View on PubMed DOI

LSTM-Based End-to-End Framework for Biomedical Event Extraction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Biomedical event extraction plays an important role in the extraction of biological information from large-scale scientific publications. However, most state-of-the-art systems separate this task into several steps, which leads to cascading errors. I...
Neural Networks, Computer Data Mining Biomedical Research Computational Biology
View on PubMed DOI

Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
We present an analysis of the problem of identifying biological context and associating it with biochemical events described in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological contex...
Biomedical Research Humans Animals Databases, Factual Mice Computational Biology Natural Language Processing Data Mining
View on PubMed DOI

Extraction of the molecular level biomedical event trigger based on gene ontology using radial belief neural network techniques.

Bio Systems Nov 28, 2020
Detection of molecular level biomedical event extraction plays a vital role in creating and visualizing the applications related to natural language processing. Cystic Fibrosis is an inherited genetic and debilitating pathology involving the respirat...
Mutation Data Mining Cystic Fibrosis Biomedical Research Gene Expression Regulation Neural Networks, Computer Lung Gene Ontology Algorithms Models, Theoretical
View on PubMed DOI

Accuracy of machine learning-based prediction of medication adherence in clinical research.

Psychiatry research Nov 4, 2020
Medication non-adherence represents a significant barrier to treatment efficacy. Remote, real-time measurement of medication dosing can facilitate dynamic prediction of risk for medication non-adherence, which in-turn allows for proactive clinical in...
Biomedical Research Male Middle Aged Medication Adherence Treatment Outcome Clinical Trials as Topic Forecasting Female Adult Machine Learning Software Humans
View on PubMed DOI

A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data.

Nature biomedical engineering Nov 2, 2020
Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for d...
Tomography, X-Ray Computed Biomedical Research Single-Cell Analysis Humans Algorithms Protein Biosynthesis Multifactor Dimensionality Reduction Sequence Analysis, RNA Electroencephalography Datasets as Topic
View on PubMed DOI

Incorporating Artificial Intelligence Into Stroke Care and Research.

Stroke Oct 27, 2020
Biomedical Research Humans Artificial Intelligence User-Computer Interface Risk Assessment Prognosis Neural Networks, Computer Stroke Deep Learning Clinical Decision-Making Neuroimaging
View on PubMed DOI

Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Circulation. Cardiovascular quality and outcomes Oct 14, 2020
Use of machine learning (ML) in clinical research is growing steadily given the increasing availability of complex clinical data sets. ML presents important advantages in terms of predictive performance and identifying undiscovered subpopulations of ...
Research Design Editorial Policies Biomedical Research Humans Data Interpretation, Statistical Machine Learning Periodicals as Topic Data Accuracy
View on PubMed DOI

Deep learning in next-generation sequencing.

Drug discovery today Oct 12, 2020
Next-generation sequencing (NGS) methods lie at the heart of large parts of biological and medical research. Their fundamental importance has created a continuously increasing demand for processing and analysis methods of the data sets produced, addr...
Metagenomics Deep Learning High-Throughput Nucleotide Sequencing Humans Neural Networks, Computer Biomedical Research
View on PubMed DOI

Deep transfer learning for reducing health care disparities arising from biomedical data inequality.

Nature communications Oct 12, 2020
As artificial intelligence (AI) is increasingly applied to biomedical research and clinical decisions, developing unbiased AI models that work equally well for all ethnic groups is of crucial importance to health disparity prevention and reduction. H...
Machine Learning Algorithms Biomedical Research Neoplasms Humans Artificial Intelligence Healthcare Disparities Ethnicity
View on PubMed DOI
Popular Topics
Recent Journals