AIMC Topic: Biomedical Research
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Trends in Alzheimer's Disease Research Based upon Machine Learning Analysis of PubMed Abstracts.
International journal of biological sciences
Aug 6, 2019
About 29.8 million people worldwide had been diagnosed with Alzheimer's disease (AD) in 2015, and the number is projected to triple by 2050. In 2018, AD was the fifth leading cause of death in Americans with 65 years of age or older, but the progress...
Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research.
Journal of medicinal chemistry
Jul 18, 2019
Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets which regulate these proteins and their downstream detrimental effects are often unknown. Phenotypic screening is an unbiased method to screen for no...
Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom.
BMC medicine
Jul 17, 2019
Big data, coupled with the use of advanced analytical approaches, such as artificial intelligence (AI), have the potential to improve medical outcomes and population health. Data that are routinely generated from, for example, electronic medical reco...
Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.
Nature communications
Jul 10, 2019
In order to advance precision medicine, detailed clinical features ought to be described in a way that leverages current knowledge. Although data collected from biomedical research is expanding at an almost exponential rate, our ability to transform ...
The advent of AI and deep learning in diagnostics and imaging: Machine learning systems have potential to improve diagnostics in healthcare and imaging systems in research.
EMBO reports
Jun 17, 2019
Machine learning systems are increasingly applied in health care and the life sciences with great potential for cancer diagnostics and optical microscopy.
An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.
Nutrients
Jun 8, 2019
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research out...
Contextual label sensitive gated network for biomedical event trigger extraction.
Journal of biomedical informatics
Jun 5, 2019
Biomedical events play a key role in improving biomedical research. Event trigger identification, extracting the words describing the event types, is a crucial and prerequisite step in the pipeline process of biomedical event extraction. There exist ...
Ontology-Based Interactive Visualization of Patient-Generated Research Questions.
Applied clinical informatics
Jun 5, 2019
BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of North Carol...
The Deep Learning-Based Recommender System "Pubmender" for Choosing a Biomedical Publication Venue: Development and Validation Study.
Journal of medical Internet research
May 24, 2019
BACKGROUND: It is of great importance for researchers to publish research results in high-quality journals. However, it is often challenging to choose the most suitable publication venue, given the exponential growth of journals and conferences. Alth...
Open access image repositories: high-quality data to enable machine learning research.
Clinical radiology
Apr 28, 2019
Originally motivated by the need for research reproducibility and data reuse, large-scale, open access information repositories have become key resources for training and testing of advanced machine learning applications in biomedical and clinical re...
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