Background: Artificial intelligence (AI) and machine learning are increasingly being used to extract signals from chemical data and high-dimensional biomedical, and to support data-driven prioritisation throughout the process of taking a discovery to the clinic. Objective: The st...
Open access
Research Article10.9734/jammr/2026/v38i46124
The COVID-19 pandemic increased anxiety, depression, and post-traumatic stress disorder around the world. It also revealed gaps in services and led to a rapid rise in the use of machine learning (ML) tools for assessment and support. This scoping review examined post-2020 evidenc...
Open access
Research Article10.9734/ajrimps/2026/v15i1366
Background: Bottlenecks in patient flow across the Emergency Department, wards, operating rooms and Intensive Care Unit reduce efficiency. This study set out to map predictive analytics for hospital resource allocation and summarise the associated outcomes and implementation barr...
Open access
Research Article10.9734/jammr/2026/v38i56133