Malicious bots undermine the integrity and safety of online social platforms, making their detection an urgent priority. This work aims to address the limitations of existing GNN-based bot detection approaches, particularly their inability to adapt t... read more
Proceedings of the National Academy of Sciences of the United States of America
Feb 17, 2026
Advances in global satellite-based remote sensing, big data, and machine learning are making large-scale geographic analysis increasingly accessible. Archaeology can benefit from multitemporal and multisensor satellite data even when direct archaeolo... read more
Annual review of analytical chemistry (Palo Alto, Calif.)
Feb 17, 2026
Extracellular vesicles (EVs) are membrane-bound vesicles that mediate intercellular communication and have gained significant interest as potential biomarker sources and therapeutic agents. This review summarizes the most recent advances in EV analys... read more
BackgroundAccurately predicting treatment responses in varicose vein sclerotherapy is crucial for improving patient quality of life and optimizing overall healthcare costs.PurposeOur study aims to accurately predict treatment responses in telangiecta... read more
Sedentary nature of office work contributes to a range of physical health issues, including obesity, which can result from prolonged inactivity, and cardiovascular diseases, linked to heightened risk factors associated with a lack of movement. Furthe... read more
Expert review of cardiovascular therapy
Feb 17, 2026
INTRODUCTION: Cardiovascular surgery including cardiac surgery and complex endovascular procedure needs careful preoperative planning as well as intraoperative precision to improve outcomes and ameliorate complications. During the last decades, sever... read more
Trust is increasingly recognized as a cornerstone for the successful implementation of digital public health initiatives, from mobile apps to the use of artificial intelligence in medicine, yet it remains underrepresented in educational curricula. In... read more
BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about fairness persist, particularly in relation to sociodemographic disparities. Previous studies suggest that socioeconomic status (SES) and sex may influ... read more
BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care systems. Despite the remarkable progress in artificial intelligence (AI), there remains a notable gap i... read more
Artificial intelligence (AI) is increasingly influencing medical education by enabling adaptive learning, AI-assisted assessment, and scalable instructional tools. Natural language processing, machine learning, and generative large language models of... read more
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