A clinician and patient seated together, reviewing a health history in a calm consultation room. Undiagnosed
No More

Make invisible illness visible.

UndiagnosedNoMore reviews longitudinal health records and turns chart-supported patterns into transparent, condition-specific signals—helping clinicians identify what warrants closer investigation.

Clinical decision support

Evidence for the questions that have not been asked yet.

UndiagnosedNoMore is an AI-assisted clinical decision-support system for illnesses that are often missed, delayed or difficult to see in a fragmented record.

Built for EHR workflows, including athenaOne, it reviews available diagnoses, laboratory results, medications, observations and clinical documents. It produces traceable evidence scores for conditions that may warrant further investigation but are not yet documented.

The system supports clinical review. It does not diagnose disease or replace clinical judgment.

About us

Bioinformatics and computer science, brought into the clinical workflow.

We are bioinformaticians and computer scientists working across clinical data, machine learning, causal inference and healthcare interoperability.

Amir Asiaee, PhD

Assistant Professor of Biostatistics and Biomedical Informatics
Vanderbilt University Medical Center

Amir develops machine-learning and causal-inference methods for biomedical and clinical questions.

Kaveh Aryan

Postdoctoral Research Associate in Artificial Intelligence
King’s College London

Kaveh works on artificial intelligence, software systems and methods for dependable clinical decision support.

Contact

Clinical collaboration, research and product enquiries

info@undiagnosednomore.org