Objectives Development of digital biomarkers to predict treatment response to a digital
behavioural intervention. Design Machine learning using random forest classifiers on data …

Type 2 diabetes is the most common chronic disease for the elderly people. This disease is
difficult to be cured and causes continued medical expenses. The early and personalized …

Представлен обзор мер государственной политики, направленных на развитие
технологий искусственного интеллекта (ИИ) в мире и в России. С целью оценить …

In this chapter we extend earlier work (Vinuesa et al., Nat Commun 11, 2020) on the
potential of artificial intelligence (AI) to achieve the 17 Sustainable Development Goals …

Background: Behavioral therapies, such as electronic counseling and self-monitoring
dispensed through mobile apps, have been shown to improve blood pressure, but the …

Background With the rapid development of science and technology, artificial intelligence (AI)
has been widely used in the diagnosis and prognosis of various spine diseases. It has been …

Data breaches in healthcare continue to grow exponentially, calling for a rethinking into
better approaches of security measures towards mitigating the menace. Traditional …

Diagnosis of adamantinomatous craniopharyngioma (ACP) is predominantly determined
through invasive pathological examination of a neurosurgical biopsy specimen. Clinical …

As smartphone and wearable tracking devices have grown in popularity, more individuals
have begun collecting their own health data. While these data are often perceived as a …

Breathing is one of the most vital functions for being mentally and emotionally healthy. A
growing number of studies confirm that breathing, although unconscious, can be under …