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00:27, 21 March 2026
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Russia Develops Remote Screening System to Detect Melanoma Risk

A new system can be deployed in clinics and outpatient settings

Photo: iStock

Researchers at Novgorod State University and the Novgorod Regional Clinical Oncology Center have developed a hardware-software system for remote melanoma screening, the university’s press service said.

These malignant tumors typically develop from moles. The system helps identify potentially dangerous moles at an early stage using a standard laptop and an inexpensive USB microscope.

“Melanoma is curable in nearly 90–95% of cases when detected early. However, about 60% of cases are diagnosed at stages II–IV, when treatment becomes more complex and costly. Melanomas are rarely detected during routine checkups, as these programs often miss elderly and low-mobility patients who are at higher risk,” said Vyacheslav Cherenkov, a professor in the Department of Hospital Surgery at Novgorod State University.

Pattern-Based Detection

The Oncodiagnostic system includes a USB microscope with up to 300x magnification, along with modules to measure blood pressure, pulse, and blood glucose levels. The microscope’s optical unit, equipped with a cylindrical attachment, focuses on and illuminates the area under examination.

Researchers identified several indicators associated with melanoma risk, including asymmetry, irregular borders, uneven color, a diameter greater than 6 mm, and changes in color, condition, size, or shape.

“When such signs are present, images are captured using the USB microscope. These images form a database that can be used as a reference for diagnosing melanoma in other patients. The dataset can also support delayed second readings and be used to train neural networks,” Cherenkov added.

The system was tested during medical screenings on patients. Melanoma risk was assessed in a dedicated application using a formula based on 10 selected patterns, operating in standalone mode. Patients identified as high-risk were referred to oncology centers for further examination.

Statistical analysis of digitized microimages showed the system can identify high-risk moles with an accuracy of up to 93.75%. The technology could make melanoma screening more accessible while filtering out low-risk cases before patients are referred to oncologists, easing the burden on cancer care systems.

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