Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.

The use of artificial intelligence (AI) and big data in medicine has increased in recent years. Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both individuals and health care professionals in the prevention and management of chronic diseases, in a person-centered manner. Nonetheless, there are several challenges that must be overcome to provide high-quality, usable, and effective mHealth apps.

Motivational Interviewing and Self-Care in Type 1 Diabetes: A Randomized Controlled Clinical Trial Study Protocol.

Background: Type 1 diabetes is a disease with complex therapeutic recommendations that require day-to-day lifestyle changes. Motivational Interviewing is a communication tool that has proved effective in changing behaviors in people with addictions, obesity and type 2 diabetes. Our objective is to evaluate the effects of a Motivational Interviewing intervention in people with type 1 diabetes.

Predicted pathogenic mutations in STAP1 are not associated with clinically defined familial hypercholesterolemia.

Background And Aims: Autosomal dominant familial hypercholesterolemia (FH) is caused by mutations in LDLR,APOB and PCSK9. Two new putative loci causing FH have been identified recently, the p.(Leu167del) mutation in APOE and new mutations in the signal transducing adaptor family member STAP1.

Effect of liraglutide on physical performance in type 2 diabetes (LIPER2): A randomised, double-blind, controlled trial.

Preclinical studies and small clinical trials suggest that glucagon-like peptide 1 (GLP1) may have a positive effect on ventricular function. Liraglutide is a GLP1-analogue used in the treatment of type 2 diabetes. LIPER2 is a phase IV, randomised, double-blind, placebo-controlled, parallel-design trial, assessing the effect of 6 months' liraglutide 1.