AIMC Topic: Biological Science Disciplines

Clear Filters Showing 21 to 30 of 40 articles

Artificial intelligence and the future of life sciences.

Drug discovery today
Over the past few decades, the number of health and 'omics-related data' generated and stored has grown exponentially. Patient information can be collected in real time and explored using various artificial intelligence (AI) tools in clinical trials;...

AIDeveloper: Deep Learning Image Classification in Life Science and Beyond.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Artificial intelligence (AI)-based image analysis has increased drastically in recent years. However, all applications use individual solutions, highly specialized for a particular task. Here, an easy-to-use, adaptable, and open source software, call...

Integrating Mobile Robots into Automated Laboratory Processes: A Suitable Workflow Management System.

SLAS technology
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
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
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
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
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
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...

Bridging BioSciences and technology: The impact of AI & GenAI in life sciences and agribusiness.

Gene
The intersection of biosciences and technology has yielded transformative advancements, and Generative Artificial Intelligence (GenAI) started to stand at the forefront of this synergy. In the field of life sciences, GenAI is emerging as a catalyst, ...

[AI-BASED HEALTH AND BIOLOGICAL SCIENCES: AN OPPORTUNITY FOR ISRAELI LEADERSHIP].

Harefuah
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...