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LUMEN · Project

AI-Powered Liquid Biopsy Chip for Early Lung Cancer Detection and Monitoring

healthTestedTRL 5

Imagine finding a tiny needle in a haystack, but the needle is a piece of cancer DNA floating in your blood. Instead of expensive and slow sequencing, this tool uses a specialized chip and AI to spot these markers quickly. It's like a high-tech filter that tells doctors if a patient has cancer or just a lung infection without needing a surgical biopsy.

By the numbers
1.8 million
annual lung cancer deaths worldwide
70%
patients diagnosed at late stages
90%
accuracy in independent validation sets
50%
patients receiving suboptimal treatment
200
biomarkers identified in the panel
The business problem

What needed solving

Lung cancer is often detected too late for cure, and current screening tools like LDCT produce inconclusive results. Additionally, there is no rapid, non-invasive way to predict if a patient will respond to a specific therapy.

The solution

What was built

A custom diagnostic microarray chip (LUMEN chip) and a machine learning-based algorithm for classifying blood samples as healthy or cancerous.

Audience

Who needs this

Clinical diagnostic laboratoriesOncology clinicsPharmaceutical companies developing lung cancer drugsPublic health screening programs
Business applications

Who can put this to work

Clinical Diagnostics
enterprise
Target: Diagnostic Laboratory Providers

If you are a diagnostic lab dealing with high costs and slow turnaround for genetic sequencing — this project developed a custom microarray chip and AI algorithm that provides a more affordable and scalable way to detect lung cancer with over 90% accuracy.

Oncology Care
mid-size
Target: Private Oncology Clinics

If you are a clinic dealing with the fact that 70% of patients are diagnosed too late for curative treatment — this project developed a non-invasive liquid biopsy assay that detects early-stage (I-II) lung cancer to improve patient outcomes.

Pharmaceuticals
enterprise
Target: Biotech Drug Developers

If you are a pharma company dealing with 50% of patients receiving suboptimal treatment due to poor response prediction — this project developed a companion diagnostic tool to predict therapy response and assess treatment effectiveness.

Frequently asked

Quick answers

How does the cost compare to existing methods?

Based on available project data, the LUMEN system eliminates the need for DNA sequencing, which makes the solution more affordable than current technologies.

Is the technology ready for industrial scale?

The project has already developed a custom diagnostic microarray (LUMEN chip) and an AI algorithm, describing the solution as scalable.

What is the IP and licensing status?

Based on available project data, JaxBio uses proprietary chemo-enzymatic labelling technology and a custom-designed chip, though specific licensing terms are not listed.

What regulatory milestones are targeted?

The overall objective is to bring forward a diagnostic platform that achieves both CE and FDA approval.

What is the timeline for market entry?

The project period runs from 2024-11-01 to 2026-10-31, during which they intend to conduct clinical trials and complete chip development.

Consortium

Who built it

The project is led by a single SME, JaxBio Technologies Ltd from Israel. With a 100% industry ratio and no university or research partners, the consortium is lean and focused entirely on commercialization and product development rather than academic exploration.

How to reach the team

Contact JaxBio Technologies Ltd regarding the LUMEN diagnostic platform

Next steps

Talk to the team behind this work.

Contact us to explore licensing or partnership opportunities with JaxBio

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