nSights by nference

Integrating Human and AI Intelligence for Scalable Breakthroughs in Drugs and Diagnostics

nSights is a powerful suite of multimodal AI applications, designed to leverage longitudinal Electronic Health Records (EHR) to generate insights - insights that can support clinical research, drug development, and predictive model development. nSights is poised on two key pillars:

Diverse, proprietary and regularly updated Real World Data (RWD) at scale

An AI-first approach to transform Real World Data (RWD) to Real World Evidence (RWE)

For Clinical Researchers For Data Scientists

For Clinical Researchers

nSights Democratize Access to RWE, Promoting Inclusivity in Clinical Innovation

Clinical researchers often struggle with the complexities of analyzing Real-World Data due to a lack of coding skills, dependency on data scientists, and the need for statistically relevant insights to apply directly to their research.

With user-friendly tools that simplify complex data interactions, nSights empowers clinical researchers to independently conduct high-quality research, increasing productivity and efficiency.

Construct complex cohorts with multiple inclusion or exclusion criteria and temporal relationships, in a few simple steps

Visualize and capture statistically significant analytical insights for research-ready presentations

Use fine-grained access controls to confidently analyze privacy-preserved data for IP-protected research

For Data Scientists

nSights Empowers Customized, Collaborative, and Reproducible Transformation of RWD into RWE

Data Scientists need to perform advanced analytics on data sourced from multiple healthcare centers. They expect to use familiar data science tools on high-performance computing machines and require a customized way to reproducibly transform RWD into RWE. Additionally, collaboration with their team is essential.

nSights enables this by providing a secure workbench equipped with advanced tools, libraries, and scalable infrastructure, facilitating a customizable, reproducible and collaborative workflow for transforming RWD into RWE.

Unrestricted access to data from multiple healthcare centers with the capability to seamlessly query by writing code just once!

Customizable and reproducible analytical workflows facilitating collaboration and iterative experimentation

Empower both experts and non-experts to create, train, and validate state-of-art, multimodal clinical AI models