Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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MOF-Based Biomimetic Enzyme Microrobots for Efficient Detection of Total Antioxidant Capacity of Fruits and Vegetables.

Green and efficient total antioxidant capacity (TAC) detection is significant for healthy diet and d...

StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...

Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veter...

A prospective study comparing highly qualified Molecular Tumor Boards with AI-powered software as a medical device.

BACKGROUND: The implementation of cancer precision medicine in Japan is deeply intertwined with insu...

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.

Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...

Promoting hand hygiene in a chemotherapy day center: the role of a robot.

BACKGROUND: Hand hygiene is a critical component of infection prevention in healthcare settings. Inn...

Clade Ib: a new emerging threat in the Mpox outbreak.

Monkeypox, a zoonotic virus in the , has drawn global attention for its impact on public health. In ...

Rapid Deployment of Antiviral Drugs Using Single-Virus Tracking and Machine Learning.

The outbreak of emerging acute viral diseases urgently requires the acceleration of specialized anti...

Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.

BACKGROUND: The age distribution of a mosquito population is a major determinant of its vectorial ca...

Revolutionizing market surveillance: customer relationship management with machine learning.

In the telecommunications industry, predicting customer churn is essential for retaining clients and...

Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time...

Policy brief: Improving national vaccination decision-making through data.

Life course immunisation looks at the broad value of vaccination across multiple generations, callin...

TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure.

In applications such as biomedical studies, epidemiology, and social sciences, recurrent events ofte...

Interpretable deep learning survival predictions in sporadic Creutzfeldt-Jakob disease.

BACKGROUND: Sporadic Creutzfeldt-Jakob disease (sCJD) is a rapidly progressive and fatal prion disea...

Mandatory surveillance of bacteremia conducted by automated monitoring.

Except for a few countries, comprehensive all-cause surveillance for bacteremia is not part of manda...

Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention.

Artificial intelligence is rapidly changing our world at an exponential rate and its transformative ...

Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management.

One of the health challenges in the 21st century is to rethink approaches to non-communicable diseas...

Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient...

Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining.

Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in h...

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