Illuminative Analytics®
in Healthcare

Using Illuminative Analytics®, clinicians and researchers can explore genomics, health records, pharmacology, and trial data to generate intelligent, personalized treatment recommendations. The system blends empirical data with intuitive insights to uncover meaningful discoveries in even the most sparse or disorganized datasets.
Fusion of empirical data and subjective content (e.g., journal articles, doctor notes)
Hypothesis generation by mapping knowledge gaps
Shared analytics environment for research collaboration
Intuitive visualizations and data mining for decision-making

Healthcare Case Studies

Explore how ISSAC’s data science tools and modular analytics frameworks have helped leading healthcare and research institutions solve complex challenges, accelerate discovery, and turn untapped data into actionable insight.

Pancreatic Cancer Research

Mayo Clinic & TGen

ISSAC worked with Mayo Clinic and TGen using Illuminative Analytics® to support genomic research and clinical trials. Our tools helped uncover 12 key biomarkers for pancreatic cancer—insights previously buried in discarded data—and were published in the British Journal of Cancer, Vol. 117 (4), pp. 572–582.
Applied Illuminative Analytics® to clinical trial and genomic data
Uncovered 12 novel biomarkers for pancreatic cancer
Transformed discarded or overlooked data into actionable discoveries
Enabled data-driven research guidance for ongoing treatment development
Published findings in the British Journal of Cancer (Vol. 117, No. 4, pp. 572–582)

Child Growth & Development

Gates Foundation

Supporting the Gates Foundation’s Healthy Birth, Growth, and Development Knowledge Integration project, ISSAC integrated data from 17 global datasets into a unified format using our Atomic Graph Database and Modular AI Platform. We resolved inconsistencies, harmonized formats, and delivered a structure ready for large-scale analysis across over 1 million global participants.

Deployed Atomic Graph Database (AGDB) and Modular AI platform to support global health research
Integrated, fused, and harmonized child growth data from 17 disparate databases
Enabled structured analysis for a dataset involving 1+ million participants
Addressed inconsistencies in data collection and formatting across international research teams
Prepared unified datasets for advanced analytics and cross-study insights

Alzheimer’s Research Collaboration

Gates Ventures

For the ADDI initiative, ISSAC created a secure, Azure-based data-sharing infrastructure to unify Alzheimer’s research across the U.S. and U.K.
One major innovation: ingesting and normalizing hand-drawn clock imagery (used to track Alzheimer’s progression) using our Lineage Decomposition technology—making visual data searchable alongside clinical records.

Community Container Repository
Data Quarantine Environment
Analytic Workflow Orchestration Engine using Illuminative Analytics®
University of Southern California (GAAIN)
University of Edinburgh
Cambridge University
Dementia Program UK
U.S. government health agencies

Upcoming Work

Look for more info about upcoming work with ISSAC on Veteran’s Suicide Prevention and Rapid Disease Diagnosis.

See More of Our Data Solutions in Action

Customer Testimonials

“Illuminative Analytics® is a unique reasoning engine that can make discoveries using deductive, inductive and abductive reasoning which allows for a full spectrum of unknowns to be uncovered!”
Rich LaValley
Analyst at OGSystems, Inc.

Trusted By Industry Leaders

Ready to Transform Healthcare with Smarter Data?

Discover how ISSAC’s analytics tools—like Illuminative Analytics® and AGDB—help healthcare and research teams integrate complex datasets, uncover hidden insights, and accelerate clinical breakthroughs.

Industry-Leading
Solutions

Trusted by government agencies
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