Immediate Oncology Intelligence

Imagene leverages AI to profile within minutes a broad range of cancer biomarkers from the biopsy image alone

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The Power of AI: Revolutionizing and Democratizing Cancer Diagnosis - Fortune Health 2022

Our Mission

To empower physicians with immediate oncology intelligence to facilitate optimal treatment for more cancer patients.

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Experts say about us

“Imagene’s technology can unlock precise and crucial information in real-time, changing the way cancer is diagnosed and treated.”

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Dr. David Agus

Founding Director and CEO

Lawrence J. Ellison Institute for Transformative Medicine

"This is a breakthrough technology that has been tested in deep collaboration with the physicians of our pathology lab" 

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Prof. Iris Barshak

Head of Pathology

Sheba Medical Center

“Unfortunately, we are so used to waiting a long time for molecular cancer testing while patients deteriorate, that such a breakthrough technology, enabling treatment initiation within a day is exceptional.”


Prof. Ido Wolf

Director of Oncology

Tel Aviv Sourasky Medical Center

“The pathology dept. at Ichilov participates in research and development of many new and advanced technologies, but it is rarely that we see a direct and meaningful impact on patients’ lives. We are excited about the opportunity to partner with Imagene to improve quality of care and impact patients’ lives.”

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Prof. Dov Hershkovitz

Director of Pathology

Tel Aviv Sourasky Medical Center

"Cancer diagnosis focuses on pathological and molecular testing. I believe that no structure and assumptions should become a barrier to personalized treatment. Imagene brings the potential of accurate, fast, actionable, profiling to all cancer patients."

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Prof. Nir Peled

Director of Oncology

Shaare Zedek Medical Center

A New Standard for Biomarker ProfilingFrom Weeks to Minutes

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Imagene for Research


Clinical Trials


Precision Oncology


Drug Development

AI-based Biomarker Profiling


Rapid biomarker profiling - within minutes


Image-based analysis, no extra tissue required


Web-based, no need for special equipment


Range of biomarkers with high accuracy


Scientific Advisory Board

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Dr. David Agus

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Dr. Tony Mok

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Dr. Ross Camidge

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Dr. Natasha Leighl

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Dr. Christian Rolfo

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Dr. Nir Peled


Our Technology

lmagene's state-of-the-art deep learning models have the capabilities of searching for all present phenotypic alterations and empowering the reporting of meaningful insights.

We make no assumptions. our models rely on prospective data and unsupervised learning to provide the highest sensitivity and specificity rates.

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