Background Smartphone-based digital phenotyping enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …

There is an urgent need to improve the clinical management of major depressive disorder
(MDD), which has become increasingly prevalent over the past two decades. Several gaps …

One of the most notable limitations of laboratory-based health research is its inability to
continuously monitor health-relevant physiological processes as individuals go about their …

Depression contributes to a wide range of maladjustment problems. With the development of
technology, objective measurement for behavior and functional indicators of depression has …

Introduction Depression is the leading cause of worldwide disability, until now only 3% of
patients with major depressive disorder (MDD) experiences full recovery or remission …

Background Vocal biomarker–based machine learning approaches have shown promising
results in the detection of various health conditions, including respiratory diseases, such as …

In the era of big data, standard analysis tools may be inadequate for making inference and
there is a growing need for more efficient and innovative ways to collect, process, analyze …

Background Current methods of monitoring cognition in older adults are insufficient to
address the growing burden of Alzheimer disease and related dementias (AD/ADRD). New …

Background: In 2017, an estimated 17.3 million adults in the United States experienced at
least one major depressive episode, with 35% of them not receiving any treatment …

The ability to objectively measure aspects of performance and behavior is a fundamental
pillar of digital health, enabling digital wellness products, decentralized trial concepts …