20+
Research Publications
Using MDClone
Using MDClone
4M+
COVID-19 Patients Available as Synthetic
Within the NIH N3C Repository
Within the NIH N3C Repository
350+
Research Projects
Underway
Underway
challenge
Research Cycles Are Tedious and Labor-Intensive
Barriers to discovery and analysis are exhaustive and filled with obstacles.
As a researcher, you rely on external teams to extract data, often waiting months to test a hypothesis and conduct an analysis. After refining queries, fixing errors, making adjustments, and submitting for IRB approval, the timeline for a research cycle becomes tiresome, lengthy, and ultimately, difficult.
solution
Put the Power of Research Directly into Your Hands
Independently extract and analyze data, run queries, and understand trends without barriers.
The MDClone ADAMS Platform introduces a new research methodology, putting the control into your hands. You can embrace curiosity while quickly exploring hypotheses and theories without relying on external mediators or submitting for IRB approval.
EXPLORE THE PLATFORM →
Turn Months into Minutes
Accelerate the Entire Research Process
Empower any user to explore theories and conduct research through data.
Get the Funding You Need
accelerate the grant cycle
Apply for more grants when you have the freedom to find the answers you need. In addition, obtain funding for fellowships, career development, and training.
get published faster
Drive discovery and get research published in journals faster when you have the ability to access data instantly.
Research Independently and Explore Freely
bypass mediators
With the MDClone ADAMS Platform, conduct self-service research, interacting in real-time with all patient-level data without mediators, without IRB approval, external teams, or data experts.
explore freely
Interact with several diagnoses and procedures and view the size of a cohort population in seconds. Build machine-learning models with synthetic data and refine queries on the fly.
Test Preliminary Ideas
make a pilot
Check the feasibility of a study with synthetic data before utilizing original data. Adjust queries independently before running a full trial with real data or involving outside teams.
move forward
Interact with both original or synthetic data, leveraging data across the entire healthcare ecosystem to test theories and ideas. Apply knowledge from synthetic data to original data with the flip of a switch and move forward with finalizing your results.
Dr. Randi Foraker - Washington University in St. Louis
Webinar: Use of Synthetic Data for Translational Research
Dr. Foraker demonstrates how synthetic data has been used at Washington University in St. Louis in three research domains: translational bioinformatics, applied clinical informatics, and population health informatics. She also describes the ongoing research in her lab and collaborations with other faculty which leverages synthetic data derivatives from MDClone.