I.m. Sechenov First Moscow State Medical University

This study explores whether analyzing the chemicals in your breath can help doctors identify metabolic syndrome and metabolically healthy obesity without blood draws or invasive tests. Researchers will collect breath samples from 300 adults and use machine learning to find unique…

This study aims to develop a smarter computer program that can separate a baby's heartbeat from the mother's heartbeat using signals from a belly sensor. Researchers will collect recordings from 350 pregnant women in their second or third trimester. The goal is to make fetal moni…

This observational study aims to find specific chemical markers (metabolites) in the blood and urine of children aged 12-17 with asthma that could signal an asthma attack. Researchers will analyze samples from 100 children with mild, moderate, and severe asthma who are already re…

This study aims to improve total knee replacement surgery for people with bow-legged (varus) knees due to osteoarthritis. Researchers will use CT scans to compare the affected and healthy legs in 300 adults, helping surgeons decide how much to straighten the knee during surgery. …

This study is testing whether a simple chatbot that asks patients about their symptoms can help doctors detect early signs of heart failure worsening. About 120 people with heart failure will answer questions regularly via a chatbot. The goal is to see if changes in their answers…