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DEMOCRATIZING ACCESS TO GENOMIC INFORMATION FOR RAPID, SCALABLE DIAGNOSTICS

Moonlight's AI diagnostics platform leverages routine imaging of hematology and cytology smears to detect genomic biomarkers and diagnose complex diseases.

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About

Moonlight AI was founded on a simple but powerful idea: that the way a tumor cell appears under the microscope -- its morphology -- is a window into its genomic and molecular profile.

 

Moonlight's software solutions equip diagnostic laboratories with rapid and seamless access to genomic insight to complement and triage conventional molecular testing. Built on a foundation of multimodal data that pairs whole slide images with genomic results, the Moonlight AI platform enhances routine imaging workflows in hematology and cytopathology. 

 

We believe that every cancer patient in the world deserves access to the right treatment, and that access to diagnostics should never be a barrier. 

How it Works
The Problem

Nearly a third of approved cancer therapies are linked to molecular biomarkers, yet fewer than half of US patients receive guideline-recommended testing such as Next-Generation Sequencing (NGS). The scalability of molecular testing is limited by high costs, long turnaround times, and the complexity of current molecular workflows. 

The Solution

Moonlight AI is democratizing access to genomic insight by using computer vision to identify genomic aberrations directly from routine imaging of blood, bone marrow, and other cytology smears.

The Method

Moonlight's AI-powered software integrates with the diagnostic lab's imaging hardware to complement and triage molecular testing. The result is a faster turnaround time, more automated workflows, and smarter utilization of diagnostic resources to serve more patients.

Our Team

Our Team

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Dr. Stefan Habringer

 CMO

(Chief Medical Officer)

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Medical doctor and clinician scientist with own research group at the Charité in Berlin. Experience in leading clinical trials for hematological malignancies.

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Nicole H. Romano, PhD

CTO

(Chief Technical Officer)

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Leader in Machine Learning with over 10 years of experience in development of AI-based products and start-ups.
PhD in Engineering from Stanford University.

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Christian Ruiz, PhD

CEO/CSO

(Chief Executive Officer)

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Leader in Diagnostics with more than 15 years of experience in research, development and implementation of diagnostic assays in the field of Precision Medicine.  Professor for Experimental Medicine at the Medical Faculty of the University of Basel.

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