success story

Fighting Alzheimer’s with data standardization and sharing

A unified cloud-based platform, offering user-friendly data standardization, analysis, and comparability of Alzheimer’s disease biomarkers

challenge_icon
the challenge

Ensuring data standardization and comparability across the global medical community is important for understanding Alzheimer's biomarkers. We need a simple system that helps gather data from different studies, making it easier for researchers to look at and analyze. 
At the same time, researchers must collaborate and share information while ensuring data privacy and ownership. 

process_icon
the solution

Nagarro designed and developed the NeuroToolKit Application (NTK App), a unified cloud-based, fully integrated analytics platform that improves the process and ability to interpret neurologically relevant immunoassay data.  
The virtual platform offers three options to import, shape, and run a statistical analysis pipeline that can later be shared with the community. It encompasses three interlinked web applications. The NTKCuration app facilitates data harmonization for shareable and editable dictionaries, allowing researchers to categorize, view, organize data and prepare their analysis in a standardized way.  
NTKAnalysis App offers an interactive statistical analysis document with built-in analysis modules to provide insights. It lets users personalize analytic outputs to their research questions through a special command.  
NTKMeta-Analysis app creates a safe and secure environment where users can exchange and compare findings globally with other partners while maintaining data ownership.

solution_icon
the outcome

The solution eased the analysis process for biostatisticians, clinicians, and practitioners and gave a shared approach to research. With a few simple clicks, NTKApp allowed importing, shaping, and running their statistical analyses, which can later be shared within the scientific community. The solution's impact extends beyond Alzheimer's as it is clinically agnostic and can be applied to research for other neurodegenerative diseases as well.