Clinical mastitis (CM) is one of the main causes of antimicrobial use (AMU) in dairy cattle, and strategies that support selective therapy are essential to promote responsible antimicrobial stewardship. This study evaluated the use of a commercial on... read more
INTRODUCTION: Large language models (LLMs), including OpenAI's GPT family accessed via interfaces such as ChatGPT and Microsoft Copilot, as well as non-GPT systems such as Google Gemini, are increasingly applied in healthcare and dental education. Ho... read more
Can large language models (LLMs) be viewed as a cognitive model of human language? Do they possess human-like language competence? To address these questions, this study takes a multifaceted approach, comparing the performance of 10 recent LLMs (n = ... read more
Solar-powered interfacial evaporation technology, owing to its high efficiency and low-carbon advantages, has become a research hotspot. This paper comprehensively sums up the progress in the research of carbon-based, plasmonic, and inorganic semicon... read more
Ischemic heart disease (IHD) remains the leading global cause of mortality and morbidity. Current diagnostic approaches face significant limitations in accessibility, cost, invasiveness, and accuracy, creating an urgent need for innovative non-invasi... read more
Nanomedicine offers powerful opportunities to overcome the pharmacokinetic and microenvironmental limitations of conventional chemotherapy, particularly in aggressive breast cancer subtypes. Among emerging nanocarriers, calcium carbonate (CaCO₃) nano... read more
Journal of agricultural and food chemistry
May 18, 2026
Sleep deprivation (SD) is associated with gastrointestinal dysfunction. However, the mechanisms underlying SD-induced ruminal epithelial apoptosis remain elusive. This study revealed that N-acetylcysteine (NAC), a naturally occurring antioxidant in A... read more
OBJECTIVES: Machine learning (ML) has the potential to enhance surgical decision-making through real-time risk prediction and personalised care yet clinical implementation remains limited. This study aimed to identify and categorise the key barriers ... read more
OBJECTIVES: In the face of pandemics resulting from infectious disease, improving community resilience has become increasingly vital. China's sudden exit from Zero-COVID policy in December 2022 triggered a surge in COVID-19 cases, compounded by medic... read more
OBJECTIVE: To explore administrators' and clinicians' views on the factors that influence their use and adoption of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chem... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.