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Vaccination is widely used to control foot-and-mouth disease (FMD), necessitating robust approaches for evaluating vaccine potency to ensure a consistent supply of effective and safe vaccines. Traditional (in vivo) poten...

Orientation: Artificial intelligence is increasingly transforming employee assistance programmes (EAPs) by enabling proactive, data-driven and context-sensitive approaches to employee well-being. In South African contex...

AbstractPublic health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence ...

As global interest in sustainability and circular economy models intensifies, understanding consumer behaviour toward refurbished products becomes increasingly important—particularly in emerging markets like India. Thi...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

Artificial intelligence (AI) has emerged as a transformative force in modern ophthalmology, enabling rapid advances in disease detection, clinical decision support, workflow optimization, and tele-ophthalmology. Ophthalm...

Abstract Breast cancer remains the most frequently diagnosed cancer among women worldwide, and its burden is particularly severe in regions affected by conflict and war. In these settings, oncology care is often disrupte...

Traumatic paraplegia, resulting from spinal cord injury, leads to severe motor dysfunction, with limited efficacy and high risks associated with conventional treatments. Brain-computer interface (BCI) has emerged as a pr...

The coevolution of the human diet and gut microbiome has played a pivotal role in shaping metabolic, immune, and epigenetic functions across human history. Dietary transitions from high-fiber ancestral patterns to modern...

Foundation models (FMs) represent a significant evolution in artificial intelligence (AI), impacting diverse fields. Within radiology, this evolution offers greater adaptability, multimodal integration, and improved gene...

Abstract Sickle Cell Disease (SCD) remains a significant global health burden, disproportionately affecting low- and middle-income countries (LMICs), particularly in sub-Saharan Africa. Recent advancements in gene-based ...

Purpose – There is limited empirical evidence about the readiness of Islamic education teachers to use Artificial Intelligence (AI) in teaching, especially at a national level in developing Muslim-majority countries. T...

Background: Conventional HIV testing approaches continue to fall short of overcoming barriers to HIV testing, especially among key and priority populations at higher risk of acquiring and transmitting HIV. Artificial in...

Objectives To synthesise existing qualitative and conceptual literature on the implementation, ethical considerations and policy implications of Medical Assistance in Dying for Mental Disorder as a Sole Underlying Medica...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

Artificial intelligence (AI) presents a transformative opportunity for pediatric healthcare, promising advancements in early diagnosis, personalized treatment, and operational efficiency. However, the unique developmenta...

Learning correlations from data forms the foundation of today's machine learning (ML) and artificial intelligence research. While contemporary methods enable the automatic discovery of complex patterns, they are prone to...

Grounded in the need to modernize science education and promote learner-centred approaches, this study examined the effectiveness of integrating context-based 7E instructional strategies, rooted in constructivist learnin...

Mobile health (mHealth) apps are increasingly deployed for evidence-based mental health interventions, broadening access to care. While effective, Internet-based Cognitive Behavioural Therapy, delivered via web or app, f...

The Technology Readiness Level (TRL) has been adopted since 2014 within the European Union (EU) as a metric to evaluate the maturity of results from EU-funded research and innovation projects. This metric is crucial for ...

Background and Purpose: Insufficient documentation of artificial intelligence (AI) models remains a widespread issue, which hampers reproducibility in research environments and safe integration in clinical departments. O...

ABSTRACT Background Artificial intelligence (AI) has catalyzed profound shifts in public health education, compelling institutions to explore innovative methods to prepare a digitally competent and resilient workforce. A...

IntroductionThis article investigates the linguistic and computational challenges of detecting antisemitism in digital communication, integrating discourse-analytical and artificial intelligence (AI) perspectives. It con...

ABSTRACT Background and Aims Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), is transforming healthcare by enabling improved diagnosis, prognosis, and personalized treatments. How...