AIMC Topic: Biological Science Disciplines
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Integrating Mobile Robots into Automated Laboratory Processes: A Suitable Workflow Management System.
SLAS technology
Nov 12, 2020
The general trend of automation is currently increasing in life science laboratories. The samples to be examined show a high diversity in their structures and composition as well as the determination methods. Complex automation lines such as those us...
Cells in ExperimentaL Life Sciences (CELLS-2018): capturing the knowledge of normal and diseased cells with ontologies.
BMC bioinformatics
Apr 25, 2019
Cell cultures and cell lines are widely used in life science experiments. In conjunction with the 2018 International Conference on Biomedical Ontology (ICBO-2018), the 2nd International Workshop on Cells in ExperimentaL Life Science (CELLS-2018) focu...
Levels and building blocks-toward a domain granularity framework for the life sciences.
Journal of biomedical semantics
Jan 28, 2019
BACKGROUND: With the emergence of high-throughput technologies, Big Data and eScience, the use of online data repositories and the establishment of new data standards that require data to be computer-parsable become increasingly important. As a conse...
Developing Deep Learning Applications for Life Science and Pharma Industry.
Drug research
Jan 16, 2018
Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also e...
An inference method from multi-layered structure of biomedical data.
BMC medical informatics and decision making
May 18, 2017
BACKGROUND: Biological system is a multi-layered structure of omics with genome, epigenome, transcriptome, metabolome, proteome, etc., and can be further stretched to clinical/medical layers such as diseasome, drugs, and symptoms. One advantage of om...
BioFed: federated query processing over life sciences linked open data.
Journal of biomedical semantics
Mar 15, 2017
BACKGROUND: Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best as RDF triple data. This is a necessary step towards unified access to biological data sets, but this...
[AI-BASED HEALTH AND BIOLOGICAL SCIENCES: AN OPPORTUNITY FOR ISRAELI LEADERSHIP].
Harefuah
Nov 1, 2024
Artificial Intelligence (AI) has become a key tool for the acceleration of scientific discovery, from accelerated drug discovery through automatic-robotic lab to the discovery of new materials that can help reduce air pollution. Israel is blessed wit...
AI writes summaries of preprints in bioRxiv trial.
Nature
Nov 1, 2023
Automation for Life Science Laboratories.
Advances in biochemical engineering/biotechnology
Jan 1, 2022
The automation of processes in all areas of the life sciences will continue to increase in the coming years due to an ever increasing number of samples to be processed, an increasing need to protect laboratory personnel from infectious material and i...
DeepSinse: deep learning-based detection of single molecules.
Bioinformatics (Oxford, England)
Nov 5, 2021
MOTIVATION: Imaging single molecules has emerged as a powerful characterization tool in the biological sciences. The detection of these under various noise conditions requires the use of algorithms that are dependent on the end-user inputting several...
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