Latest AI and machine learning research in public health & policy for healthcare professionals.
Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite years of eradication attempts, is still prevalent globally. Machine learning (ML), a technology allowing for computerised discovery of patterns in data, has been applied widely to the field of epidemiology for decades, more recently venturing into the detection and diagnosis of bTB with varying suc...
Emerging from liposomes, nanomedicines have been rapidly developed into powerful tools for the diagnosis, therapy, and prevention of diseases. After bypassing from physiological barriers, most nanoparticles are interrupted on the way to subcellular organelles, causing less than 1% of nanoparticles to reach the desired organelles. As organelles actively participate and mediate the progression of ce...
Artificial intelligence (AI) has the potential to integrate and digest vast amounts of information to aid clinical decision-making and organise the lo...
Avian pathology is the scientific study of diseases in birds, focusing on the structural, functional and molecular changes in tissues and organs cause...
Pandemic and epidemic intelligence integrates surveillance data with contextual knowledge to assess health risks and inform public health decisions. A...
PURPOSE: To evaluate the factual accuracy and citation fidelity of Scopus AI's outputs in response to a single health care-related research question a...
BACKGROUND: Differentiating pheochromocytoma (PHEO) from adrenocortical adenoma (ACA) is vital to avoid intraoperative hypertensive crises or redundan...
Continuous glucose monitoring (CGM) has markedly advanced diabetes care by enabling real-time visualization of glycaemic variability, prevention of hy...
BACKGROUND: Artificial intelligence and machine learning (AI/ML) may strengthen hospital infection prevention and control (IPC) through automated surv...
BACKGROUND: Rapid and accurate identification of intracellular pathogenic Brucella species and biovars is essential for effective public health survei...
Lung cancer persists as the predominant oncological cause of mortality globally, underscoring an imperative public health issue that demands effective...
Leprosy remains a neglected tropical disease with active transmission. Predictive models improve understanding of epidemiological trends and support c...
BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and publicly reported in United States hospitals but requ...
PURPOSE OF REVIEW: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biolog...
Video-based or image-based human activity recognition (HAR) via machine learning algorithms helps track, detect, and categorize users' daily activitie...
Dental caries is a chronic and progressive destruction of dental hard tissue under the combined action of multiple factors, with the pits and fissures...
OBJECTIVES: This study aimed to develop an effective model for predicting Hodgkin lymphoma (HL) prognosis as to assist clinicians in making optimal cl...
OBJECTIVES: Globally, dental reforms have gained momentum through enhanced policy dialogues, the rise of digital health, artificial intelligence and o...
The development of Artificial Intelligence (AI) is rapidly advancing, and AI tools are being integrated into many aspects of daily life, including med...
Mosquito-borne diseases remain a major global health challenge, disproportionately impacting low- and middle-income countries. Despite traditional con...