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15:59, 22 December 2025
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Russian Scientists Develop Digital Assistant for Forensic Examiners

The new software can estimate a woman’s age with high accuracy by analyzing age-related changes in internal organs.

Russian researchers have unveiled a digital tool that could change how identity is established in complex forensic cases. Scientists from Perm State Medical University named after Academician E. A. Wagner and Perm National Research Polytechnic University have developed a computer program that helps determine a woman’s age through microscopic analysis of fallopian tube tissue.

The method is particularly valuable in cases where traditional identification techniques, such as DNA analysis or dental examination, cannot be used due to the age or severe damage of remains.

A “Map” of Age-Related Changes

The software is based on an extensive research project that produced a detailed “map” of age-related changes in the fallopian tubes. By studying hundreds of samples, researchers identified clear and predictable patterns in how this organ changes over time.

“We identified two key patterns. Fallopian tubes change with age in a well-defined way, and the right tube is generally slightly larger than the left throughout a woman’s life. These changes can be measured and used as biological clocks,” explains Irina Balandina, professor and head of the anatomy department at Perm State Medical University.

Unlike traditional anthropological methods, which can have an error margin of 15–20 years for adults, the new approach assigns a woman to one of five age ranges, such as 36–55 years. This significantly narrows the search among missing persons.

The digital assistant automates what is normally a complex analysis. A forensic expert enters precise tissue measurements obtained under a microscope into the system.

From Vague Estimates to Actionable Conclusions

“The program automatically compares the input data with its built-in database of age norms. Based on a comprehensive analysis, it produces a result – a probable age range,” says Vladislav Nikitin, associate professor at the Department of Computational Mathematics, Mechanics, and Biomechanics at Perm National Research Polytechnic University.

As a result, instead of a vague estimate, investigators receive a concrete conclusion that is meaningful for an investigation, reducing the number of potential matches in databases by 30–40%.

The technology could open new possibilities in cases that previously appeared unsolvable. The developers say the program is ready to be deployed in forensic practice.

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