New York: Researchers, including one of an Indian-origin, have developed a wearable off-the-shelf and machine learning technology that can predict an individual's blood pressure and provide personalised recommendations to lower it. When doctors tell their patients to make a lot of significant lifestyle changes - exercise more, sleep better, lower their salt intake etc. - it can be overwhelming, and compliance is not very high, Sujit Dey, Professor, Department of Electrical and Computer Engineering at the University of California in the US, said in a statement. "What if we could pinpoint the one health behaviour that most impacts an individual's blood pressure, and have them focus on that one goal instead," Dey said. The study affirmed the importance of personalised data over generalised information as the former was more effective. The team collected sleep, exercise and blood pressure data from eight patients over 90 days.