Latest AI and machine learning research in us health policy for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding how individual researchers subjectively perceive and navigate these ambiguities in practice, impacting research integrity. METHODS: To explore researc...
FDA issued guidance on April 10th, 2025 to phase out animal trials in favor of organoids and organ-on-a-chip systems. This pivotal move was swiftly followed by National Institutes of Health (NIH) on April 29th, when it inaugurated the Office of Research Innovation, Validation, and Application (ORIVA). The establishment of ORIVA aims to spearhead the advancement of human-centric organ-on-a-chip tec...
Historically, human anatomy education has been an essential part of medical training, depending on cadaveric dissection and anatomical representations...
Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, non-convex problem traditionally addressed with heur...
Low-income populations have disproportionately low completion of recommended healthcare services, from missed vaccinations to cancer screenings. While...
In the next 25 years, we will see unprecedented technological progress due to the artificial intelligence (AI) revolution. AI-driven advances will be ...
Biomarkers play a pivotal role in the detection and management of diseases, including obesity-a growing global health crisis with complex biological u...
This editorial explores the concept of the 'value of information' in the 21st century through five distinct domains: science, medicine, policy, media,...
Artificial intelligence models with biomarkers to predict treatment responses to radiation would be necessary to maximise the treatment outcomes of in...
Early identification and referral of inflammatory breast cancer (IBC) remains challenging within large healthcare systems, limiting access to speciali...
Concurrent developments in robotic design and natural language processing (NLP) have enabled the production of humanoid chatbots that can operate in c...
The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public health problem. This study aims to identify the ris...
Microalgae robots are an emerging biohybrid microrobot that combines the biological properties of microalgae with microrobot technology and shows a wi...
The increasing availability and accessibility of artificial intelligence have triggered a seismic transformation of the publishing value chain, presen...
BACKGROUND: The accuracy of contemporary administrative claims codes to discriminate between different phenotypes of peripheral artery disease is not ...
Satellite data have long been recognized as valuable for air quality applications. These applications are in a stage of rapid growth: new geostationar...
Digital transformation is increasingly relevant in food certification systems, improving processes, coordination, and data accessibility. In state-led...
The disintegration time for solid dosage oral formulations is directly influenced by diverse factors such as molecular properties, physical characteri...
The 28th Annual Scientific Sessions of the Society for Cardiovascular Magnetic Resonance (SCMR) took place from January 29 to February 1, 2025, in Was...
INTRODUCTION: Knowledge management is essential to ensure the sustainability of rural communities and small producers since it generates value for inn...