The dynamics of how men and women smile differs measurably, according to new research, enabling artificial intelligence (AI) to automatically assign gender purely based on a smile. Although automatic gender recognition is already available, existing methods use static images and compare fixed facial features.

For patients diagnosed with glioma, a deadly form of brain tumor, the future can be very uncertain. While gliomas are often fatal within two years of diagnosis, some patients can survive for 10 years or more. Predicting the course of a patient's disease at diagnosis is critical in selecting the right therapy and in helping patients and their families to plan their lives.

Cuff devices for blood pressure measurement are inconvenient, and mobile device apps for blood pressure measurement that are now being introduced may lack accuracy. To solve this problem, a team of Michigan State University scientists has created a new app and hardware for smartphones to measure blood pressure with accuracy that may rival arm-cuff devices.

The Horizon 2020 funded KONFIDO Action concluded its activities related to User Requirement Analysis. This initial phase of the Action entailed a gap analysis study about secure and interoperable solutions at the systemic level, the definition and analysis of user scenarios, the user requirements elicitation, and an intense interaction with the KONFIDO end-users (both patients/citizens and healthcare professionals) for the identification of barriers and facilitators concerning eHealth acceptance coupled with cybersecurity technologies.

A new smartphone app may help reduce the number of hospital readmissions in patients who have been treated for a heart attack, according to a study presented at the American College of Cardiology's Cardiovascular Summit in Las Vegas. The "Corrie" app, developed for iPhone, is the first cardiology app for the Apple CareKit platform. The app is designed to help patients navigate the hospital discharge process by educating them about heart disease.

There is an increasing amount of self-help tools among people with diabetes. They use apps, social media and various cloud-based solutions to cope. Now, e-health researchers will make guidelines for evaluating the apps and online resources they use.

80% of the most popular health applications available on Android do not comply with standards intended to prevent the misuse and dissemination of their users' data. This is the finding of a European study started in 2016 and involving Agustí Solanas, head of the Smart Health research group at the URV's Department of Computer Engineering and Mathematics, and researchers from the University of Piraeus (Greece) headed by Constantinos Patsakis.