The press service of the federal district of Sirius reported that scientists from the Department of Computational Biology at Sirius University are trying to create a mathematical model that can predict the results of the treatment of arterial hypertension.
Truly personalized medicine is possible, but for this every patient has to be “digitized”. A person’s digital twin will tell doctors how the patient’s body will respond to treatment and help choose the most appropriate course. Bioinformaticians at Sirius University came to this conclusion and began developing a special program.
The authors of the idea plan that the mathematical model will create many virtual clones, after inputting the patient’s data, it will predict the most likely effect of treatment with different drugs and provide additional studies to prescribe the most effective treatment.
It is stated that the digital twin will consist of three components: a real object, its digital copy, and a synchronization system between the real and the digital object.
At Sirius University, they said, initially experts developed a model of the human cardiovascular system that allowed to take into account age, gender, weight and other parameters. A model has also been developed to predict the effects of available antihypertensive drugs and their various combinations, based on data from clinical drug trials. The result is a program that can compare these models and give an estimate of exactly what will be effective for a given patient, and to what extent. The results of the scientists’ work are published in the scientific journal Frontiers in Physiology.
“It is impossible to create a digital patient model for all diseases at the same time – it is a very difficult task. So our approach is to build a set of basic blocks and build from them a model for a particular patient and disease. Such models are not built from scratch, they are always complex. “They have an evolutionary nature. For example, the data we are using now was obtained in 1972, and only now have experts understood what can be done with it. This is a consistent and very long study that evolves as we acquire new data about the person himself,” explained Sirius University Computational Biology Fedor Kolpakov, principal investigator and project manager of the department.
The scientists plan to include a genetic predisposition to hypertension in their model.