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TechLab: Galenos.AI Early Cancer Detection Service

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: TECHLAB
Date of the premiere of the system: 2023/05/10
Last Release Date: 2023/07/17
Branches: Pharmaceuticals, Medicine, Healthcare

Content

The main articles are:

2025: Registration by Roszdravnadzor

Roszdravnadzor has registered a medical device - software based on Galenos.AI artificial intelligence technologies from TechLAB, which is aimed at detecting cancer in the early stages. The medical unit analyzes the data of the patient's electronic medical record and a special questionnaire in order to identify 16 types of oncopathology even before they manifest themselves. TechLAB announced this on June 3, 2025.

The effectiveness of therapy in the fight against cancer is directly related to the stage at which malignant neoplasm (MNR) was detected. So, on the example of breast cancer, it was found that its detection at stage I allows more than 200 times to reduce the costs of treating the patient, but the main thing is to increase the five-year survival rate by 2 times. The indicator of early detection of ZNO has also become one of the main goals of the federal project "Fight against oncological diseases" within the framework of the national project "Long and Active Life," which only confirms the relevance of timely prevention and the need for high monitoring of doctors and patients.

To solve these problems, the TechLAB IT company from St. Petersburg has developed the Galenos.AI differential diagnostic service for detecting PHO in the early stages. The AI-based solution analyzes the patient's electronic medical record (EMR) and a special questionnaire for the presence of specific symptoms of PHO to signal to the doctor the need for a deeper diagnosis of the patient. The service already detects 16 of the most common types of ZNO, including melanoma, breast cancer, cervical cancer, throat cancer, stomach cancer, lung cancer, and analyzes more than 80 predictors of their occurrence.

Previously, the service was piloted in three regions of the Russian Federation, where doctors of state medical organizations worked with it, and now it has become an officially registered medical device with confirmed safety and effectiveness: on May 20, 2025, Roszdravnadzor issued a registration certificate for Galenos.AI.

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The Galenos.AI service is developed by us within the framework of the concept of national projects and is aimed at improving the accuracy of diagnosis and prediction of cancer. As of June 2025, more than 10,000 electronic patient health records have already been analyzed with Galenos.AI. We also proposed our way to involve the patient through regional doctor record portals in the process of early diagnosis of NDO and were convinced of the effectiveness of this approach in practice. Obtaining a marketing authorization will make it possible to scale this result taking into account the high requirements of the regulator for the third class of risk for such medical products, - explained Alexander Shapovalov, director of the digital health services development company TechLAB.
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Since 2019, Roszdravnadzor has registered only 43 medical devices in the form software of artificial intelligence, most of which (88%) - domestic development. {{quote 'However, almost all of these medical devices - about 86% - are focused on analyzing images, for example, images CT and, MRI- says the expert "TechLAB," - while registered AI solutions for working with an integrated electronic medical patient record, which include Galenos.AI, are still units. }}

He says that the tests of the medical device took place during 2024, and the state registration itself took seven months. Such a long procedure is associated with the need for the developer to demonstrate and prove the effectiveness of his solution and describe it in the documentation.

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Key metrics for assessing the effectiveness of an AI solution are the sensitivity, specificity and accuracy of its operation. It is important that artificial intelligence identifies patients with oncopathology, but does not consider healthy people as such. In addition, the accuracy of the model is important, in other words, the percentage of the coincidence of the opinion of the AI and the doctor. In the case of the medical product Galenos.AI, the opinion of the doctor and AI coincides in 98%, - said Alexander Shapovalov.
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2023

Finalizing Service Development

St. Petersburg has completed the development of a service that will increase the frequency of detection of cancer. The company TechLAB announced this on July 17, 2023.

A digital solution designed to increase the frequency of detection of cancer.

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Since the number of detected cases of cancer is growing annually, the burden on non-core medical specialists: therapists, paramedics, general practitioners is increasing. It is important for them to be the first to formulate suspicions of a malignant neoplasm (MNR) based on the symptoms present in the patient. Our service based on data evidence-based medicine algorithms and continuous medicine is called upon to help them in this, - machine learning said the Alexander Shapovalov director of TechLAB.
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The basis of the decision was developed several years ago: the "Algorithms for the early detection of cancer," approved by the Ministry of Health of the Russian Federation, served as a scientific basis. As of July 2023, the company's specialists have improved the service by using machine learning algorithms, including the so-called reinforcement training. The development of the solution corresponds to the key initiatives of the federal project "Combating Cancer."

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From the user's point of view, the service works as follows: during the collection of history, the doctor notes the patient's complaints in a special electronic questionnaire (it is the service interface that is most similar to it), and if they correspond to a certain set of scientifically proven predictors of the development of a particular type of cancer, the service will offer the doctor to "show alertness" - assign additional studies to this patient. This is the task of the service: to artificially "raise" the group of these diagnoses in the list and draw the attention of a medical specialist to them, and with minimal costs for his time and attention, - described the mechanism of operation of the service Mikhail Kaufman, director of health projects "TechLAB."
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Solution Presentation

A service will appear in Russia that will increase the frequency of detection of cancer. This was announced on May 10, 2023 by TechLAB.

Oncological diseases occupy the second place in the mortality structure of the Russian population, however, due to the fact that they are difficult to detect in the early stages, malignant neoplasms become especially insidious. So, if cancer is detected at the fourth stage, then the average five-year survival rate is 10%, while the timely diagnosis of cancer at the first stage and its effective treatment significantly increase this figure - up to 85-90%.

By May 2023, the IT company TechLAB (St. Petersburg) is developing a digital solution that would help general practitioners, paramedics and therapists identify cancer in the early stages.

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TechLAB is developing a service using continuous machine learning techniques designed to enrich our existing system for early detection of cancer. This will increase the number of patients who have cancer at an early stage and reduce the costs of the healthcare system for their subsequent treatment, - said Alexander Shapovalov, director of TechLAB.
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The expert stressed that such decisions are primarily intended for therapists, paramedics and general practitioners, that is, non-specialists in oncology, who, despite a different professional profile, with the help of the service will be able to suspect a possible cancer as early as possible and order additional diagnostic studies.

The development of the solution corresponds to the key initiatives of the federal project "Combating Cancer": it contributes to improving the quality and life expectancy of the Russian population. A prototype service may appear as early as 2023.