Digital Transformation Solutions
for the Life Sciences
AILANI
Semantic Search and Data Integration
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NICARA
Explore the world of Connectomics
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BioXMTM
Let‘s create your individual Knowledge Management Solution
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AILANI
Artificial Intelligence LANguage Interface
- Take advantage from AI-based semantic search for public and internal databases
- Implement a corporate user interface to simply access highly relevant company-wide and external data from everybody everywhere
- Profit from a zero footprint solution for a safeand efficient data search and knowledge management
Utilize optimal keyword results and AI suggestions, including:
- Reports and statistics
- Concrete answers and instructions
- Structures and molecules
- Background knowledge
NICARA
NeuroImaging-based Connectome Assessment
in Research and Application
- Make use of extensive connectome data sets to get a more comprehensive insight into your research
- Experience high performance computing of large connectome datasets using fully automated processing pipelines
- Display individual Connectomes in high resolution with up to 100.000 brain connections using the HCP Atlas
- Increase standardization, interoperability and reusability of your brain imaging data
- Accelerate your research progress and ex pand your research field in an easy manner
- Save time, costs and the need for expert knowledge
BioXM
Fully customizable,
all-in-one enterprise knowledge management system
- Connect and explore clinical data, study information and statistical analyses
- Keep non-redundant repositories of scientific data
- Create comprehensive disease maps
- Connect, organize, review, compare, annotate and modify biological pathways
- Identify biomarker candidates based on automatic literature analysis
- Classify biological functions using ontologies specific to focused scientific areas
- Easily integrate external statistical packages, bioinformatics tools, chemoinformatics algorithms, Web services and more
- Generate networks from multiple sources and find previously undetected links in the data
