Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
The IMD AI Safety Clock is a tool designed to evaluate the risks of Uncontrolled Artificial General Intelligence (UAGI) – autonomous AI systems that operate without human oversight and could ...
Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...
India’s statistical challenges call for the urgent need for timely, credible data to ensure policies are based on fact, not ...
Damba, D. , Silumesii, L. and Damba, W. (2025) Factors Influencing Antiretroviral Therapy Completion among HIV-Positive ...
Objectives The use of economic evidence to prioritise vaccines and delivery strategies to optimally use in immunisation systems is becoming a global priority, especially in low- and middle-income ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Introduction Like many countries globally, childhood immunisation coverage is below government targets in the Philippines and ...
Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback