Sweat contains a number of biomarkers that can detect health problems before symptoms appear. Modern wearable devices can monitor these biomarkers in real time using microfluidic technologies without the need for blood or needles. New patches with artificial intelligence analyze the biochemical patterns of sweat to identify disease risks, monitor medication levels or assess stress responses. Research focuses on the detection of substances such as glucose and cortisol, which are important for monitoring metabolic and hormonal changes. This technology is still in development, but its potential for early diagnosis and personalized medicine is great. Biomarkers in sweat correlate with blood levels, enabling reliable diagnosis without invasive methods. Advanced microfluidic devices are automated and miniaturized, which reduces costs and increases comfort for the user. The development of these systems represents an important step in health monitoring and disease prevention.