ScienceDaily: Computers & Math News

Scientists have developed an artificial intelligence (AI) system that can analyze eye scans taken during a routine visit to an optician or eye clinic and identify patients at a high risk of a heart attack. Doctors have recognized that changes to the tiny blood vessels in the retina are indicators of broader vascular disease, including problems with the heart. In the research, deep learning techniques were used to train an AI system to automatically read retinal scans and identify those people who, over the following year, were likely to have a heart attack.

Storms over the waters around Antarctica drive an outgassing of carbon dioxide into the atmosphere, according to a new international study. The research group used advanced ocean robots for the study, which provides a better understanding of climate change and can lead to better global climate models.

Artificial intelligence is being used for many extremely complex tasks. So why not use machine learning to study particle physics? As it turns out, this is not easy, because of some special mathematical properties of particle physics. But now, a neural network has been developed that can be used to study quark gluon plasma - the state of the universe after the Big Bang.

The next generation of soft robotics, smart clothing and biocompatible medical devices are going to need integrated soft sensors that can stretch and twist with the device or wearer. The challenge: most of the components used in traditional sensing are rigid. Now, researchers have developed a soft, self-powered thermometer that can be integrated into stretchable electronics and soft robots.

For the first time, University of Utah Health scientists have shown that artificial intelligence could lead to better ways to predict the onset and course of cardiovascular disease. The researchers, working in conjunction with physicians from Intermountain Primary Children's Hospital, developed unique computational tools to precisely measure the synergistic effects of existing medical conditions on the heart and blood vessels.

New pose estimation software has the potential to help neurologists and their patients capture important clinical data using simple tools such as smartphones and tablets, according to a new study.

Social media use has been linked to biological and psychological indicators associated with poor physical health among college students, according to new results. Research participants who used social media excessively were found to have higher levels of C-reactive protein (CRP), a biological marker of chronic inflammation that predicts serious illnesses, such as diabetes, certain cancers and cardiovascular disease. In addition to elevated CRP levels, results suggest higher social media use was also related to somatic symptoms, like headaches, chest and back pains, and more frequent visits to doctors and health centers for the treatment of illness.