nSIGHT™: A Data Discovery Platform for Visualization, Integration and Retrospective Analysis of Multimodal Clinical...

Area of Science:

• Oncology
• Bioinformatics
• Data Science

Background:

• Clinical and research data systems often lack interoperability, hindering cancer research.
• This data fragmentation impedes the evaluation of mechanistic hypotheses and clinical translation of treatments.

Purpose of the Study:

• To develop a user-friendly, web-based tool for cancer data discovery, visualization, and analysis.
• To enable researchers to query integrated clinical and research data and construct de-identified cancer cohorts.

Main Methods:

• Developed nSight™, a self-service, intuitive platform for accessing structured, de-identified data.
• Integrated patient demographics, disease histology, treatments, progression timelines, molecular data, and study participation indicators.
• Enabled summary statistics and basic survival analysis (Kaplan-Meier curves) between cohorts.

Main Results:

• nSight™ provides researchers with easy access to multimodal clinical and research data.
• The tool supports visualization, integration, and analysis without high technical demands.
• Facilitates research feasibility assessment, cohort development, and retrospective data discovery.

Conclusions:

• nSight™ addresses the data interoperability gap in cancer research.
• The platform empowers researchers to identify study populations and explore novel hypotheses efficiently.
• Enhances the translation of laboratory findings to clinical applications.