• Fri. Mar 1st, 2024

Revolutionizing Cancer Diagnosis: How AI Technology is Saving Lives with Rapid Tumor Identification


Feb 13, 2024
Advancements in Israeli technology: AI-assisted biopsy

In recent years, biopsy testing has become a crucial aspect of cancer diagnosis and treatment. These tests involve taking samples from the tumor and sending them to a pathology laboratory for examination under computerized microscopes, which allows doctors to identify the specific type of tumor and adjust treatment protocols accordingly. However, this process can take a long time, sometimes up to a month or more, putting patients at risk while they wait for an answer.

To address this issue, a new development has been implemented at the Sheba Medical Center in Israel. This technology was developed by imagene, a Tel Aviv start-up company founded in 2020 by three young developers – Dean Bitan, Yonatan Salah and Shahar Porat. The company has created an artificial intelligence (AI) technology that can identify countless characterizations of cancerous tumors within minutes using digital scanning devices.

In the first phase of the implementation, the Sheba Medical Center applied this technology to cancerous tumors after being pioneers in digital scans of biopsies that were previously transferred between laboratories on fragile glass. With digital scanning, doctors can view samples even from home and anywhere in the world. The digital scan allows for quick answers to patients even when doctors are not in the laboratory and can consult with experts from all over the world.

The computers in the pathology laboratory now work overtime as they scan thousands of different algorithms to identify the characteristics of tumors and mutations present within them. Within just a few minutes, an indication of the type of cancer is obtained so that medical teams know what treatment and exact dose to give patients. This advanced technology has allowed doctors to save lives by providing quicker answers to patients waiting for genetic sequencing results that could have taken weeks or even months before.

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