Russia Is to Develop Neural Network to Predict Disease Progression
The system is expected to identify illnesses at an early stage.
Russia is training artificial intelligence to predict how diseases develop, with deployment expected to take at least five years. The plan was outlined by Ivan Tolmachev, a PhD in medicine and head of the Center for Digital Medicine and Cyberphysics at Siberian State Medical University.
Stopping Disease at the “First Hint”
Russian scientists plan to create a neural network that can be trained to forecast the progression of serious diseases, including cancer, at the earliest possible stage. The system will analyze medical data to detect subtle changes and early warning trends. This would make it possible to issue preemptive diagnoses and address pathologies while they are still only a probability, TASS reports.
According to Tolmachev, preparing a dataset from digitized medical records will take about three years, followed by another six months to build the model itself.
Preventive Medicine at a New Level
The project’s uniqueness lies in its comprehensive approach to identifying future health risks for patients, rather than simply analyzing their current condition. This could move preventive medicine to a qualitatively new level.
As a result, the initiative’s success is closely tied to the broader digital transformation of healthcare, which has been gaining momentum in recent years. The system is expected to make routine health screenings more effective, reduce mortality from severe diseases, and ease the burden on physicians by allowing them to focus on complex cases.
