A team from the Skoltech-based NTI Center of Excellence (CoE) has succeeded in making blood pressure measurements more accurate by using standard wearable heart rate monitor data. The researchers developed novel algorithms based on ML technologies and deep neural networks that hold much promise for compact continuous health monitoring devices intended for individuals exposed to occupational hazards and other risks.