AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Biological Science Disciplines

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DeepImageJ: A user-friendly environment to run deep learning models in ImageJ.

Nature methods
DeepImageJ is a user-friendly solution that enables the generic use of pre-trained deep learning models for biomedical image analysis in ImageJ. The deepImageJ environment gives access to the largest bioimage repository of pre-trained deep learning m...

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...

Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human-machine systems.

Proceedings of the National Academy of Sciences of the United States of America
Citizen science has proved to be a unique and effective tool in helping science and society cope with the ever-growing data rates and volumes that characterize the modern research landscape. It also serves a critical role in engaging the public with ...

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...