The human voice has the potential to serve as a valuable biomarker for the early detection,
diagnosis, and monitoring of pediatric conditions. This scoping review synthesizes the …

Background Vocal features have been exploited to distinguish depression from healthy
controls. While there have been some claims for success, the degree to which changes in …

The rapid international growth in access to and capabilities of mobile and wireless
technologies (mHealth) presents a feasible route towards augmenting traditional mental …

Objective: The objective of this study is to explore and enhance the diagnostic process of
unipolar and bipolar disorders. The primary focus is on leveraging automated processes to …

Bipolar is a mood disorder characterized by extreme swings between feelings of happiness
and sadness. Based on WHO data, around 60 million people experience bipolar disorder …

Introduction A substantial proportion of patients with bipolar disorder experience daily
subsyndromal mood swings, and the term “mood instability” reflecting the variability in mood …

Introduction Voice features could be a sensitive marker of affective state in bipolar disorder
(BD). Smartphone apps offer an excellent opportunity to collect voice data in the natural …

Computing technology has indeed become pervasive. Taking a quick look around me, I see
computing systems in literally everything—in the cars, televisions, smartphones, restaurants …

According to a survey on the cause of death among Japanese people, lifestyle-related
diseases (such as malignant neoplasms, cardiovascular diseases, and pneumonia) account …

The digital world has been growing exponentially, changing the way we do science—both in
how we generate and disseminate it. This has consequently opened up opportunities to …