Hypertension: Scientists hope to use artificial intelligence to screen people at high risk for cardiovascular disease.

Oct 12, 2020 // -- Now there is growing research evidence that bacteria living in the body's digestive tract can have far-reaching effects on the body's cardiovascular health; in a recent study published in the international journal Hypertension, scientists from the University of Torredo and others said that today we may not need specialized testing, but use these microorganisms to help diagnose heart and vascular diseases. 'We are well aware of the link between an individual's gut microbiome and a variety of diseases, such as high blood pressure and heart failure, although we are not entirely aware of all the mechanisms involved, and using artificial intelligence, researchers can develop a new machine learning model that simply uses bacterial properties in feces to screen people for cardiovascular disease,' said
researcher Bina Joe. in the
article, the researchers used computer algorithms to analyze the bacterial composition of stool samples from about 1,000 individuals, about half of whom were diagnosed with some form of cardiovascular disease, while the other half reported no cardiovascular disease.
Photo Source: CC0 Public Domain researchers found high levels of specific bacteria in each group, which may provide a microbial trait to help distinguish between cardiovascular patients and healthy individuals, and in short, the researchers found about 40 different bacterial groups associated with cardiovascular health in the body;
researcher Sachin Aryal said that even with such technological advances, cardiovascular disease is still the leading cause of death in the global population, there are a variety of ways to diagnose cardiovascular disease, but we are still lagging behind in assessing the body's cardiovascular health, based on the results of this study, researchers may be able to develop a intestinal bacterial group-based approach to diagnose cardiovascular disease.
researchers say patients with high-risk cardiovascular disease identified using machine learning models may be able to turn directly to the clinic to find additional screening and treatment interventions that can save patients time and money.
The sample of 1,000 patients initially used by the researchers focused only on cardiovascular disease in general, not on special circumstances such as high blood pressure or heart failure, and by adding nuanced data, including personal conditions or demographic information, researchers may be able to use artificial intelligence to produce more accurate results, including specific diagnoses. Xi Cheng, a
researcher, said the machine algorithm, much like a doctor, would gain more experience and expertise if doctors diagnosed more patients, improving their future diagnosis of a variety of difficult diseases;
() Original source: Sachin Aryal, Ahmad Alimadadi, Ishan Manandhar, et al. Microbiome-base Diagnostic Screening Of CardioVascular Disease Using A Machine Learning Approach, Hypertension. 9 Sep 2020 doi:10.1161/hyp.76.suppl_1.MP10.