Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

The explosion and abundance of digital data could facilitate large-scale research for
psychiatry and mental health. Research using so-called “real world data”—such as …

This paper applies different link prediction methods on a knowledge graph generated from
biomedical literature, with the aim to compare their ability to identify unknown drug-gene …

Background: Dementia is a progressive disease that worsens over time as cognitive abilities
deteriorate. Effective preventive interventions require early detection. However, there are no …

Pre-diagnosis of common dementia conditions such as Alzheimer's disease (AD) in the
initial stages is crucial to help in early intervention, treatment plan design, disease …

Background Depression affects personal and public well‐being and identification of natural
therapeutics such as nutrition is necessary to help alleviate this public health concern …

Background The timely detection of Alzheimer's disease and other related dementias
(ADRD) is suboptimal. Digital data already stored in electronic health records (EHR) offer …

Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …

Machine Learning (ML) and Deep Learning (DL) models show potential in surpassing
traditional methods including generalised linear models for healthcare predictions …

Objectives There is currently no reliable tool for classifying dementia severity level based on
administrative claims data. We aimed to develop a claims-based model to identify patients …