Results 191 to 200 of about 1,049,028 (260)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Knowledge, Attitudes and Practices Toward Hypotension During Hemodialysis Among Nephrology and Hemodialysis Medical Staff: A Multi-Center Cross-Sectional Study. [PDF]

J Multidiscip Healthc
Cheng D, Xie L, Chu X, Bai Y, He T.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Knowledge, Attitude, and Practice of Medical Staff Towards Metabolic Syndrome in Schizophrenia in Chinese Hospitals: A Cross-Sectional Study. [PDF]

J Multidiscip Healthc
Wang Y, Yu X, Chen H, Tang C, Zhang N.
europepmc   +1 more source

The impact of night shifts on the physical and mental health of psychiatric medical staff: the influence of occupational burnout. [PDF]

BMC Psychiatry
Chen CC, Ping LY, Lan YL, Huang CY.
europepmc   +1 more source

Development and validation of an enteral feeding interruption management scale for ICU medical staff: A knowledge-, attitude- and practice-based approach. [PDF]

Nurs Crit Care
Mi Y, Tian F, Wang L, Xiang C, Sun L.
europepmc   +1 more source

The relationship between emotional labor and job burnout among Chinese medical staff: The mediating role of organizational identification. [PDF]

Medicine (Baltimore)
Yang T, Zhao Z, Zhu J, Huang Q, Zhu Y, Zeng Z, Liu Y.   +6 more
europepmc   +1 more source

Message From the Editor-in-Chief　- Submission Campaign for Medical Staff. [PDF]

Circ Rep
Sata M.
europepmc   +1 more source

Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

J Med Internet Res
Dai Q, Li M, Yang M, Shi S, Wang Z, Liao J, Li Z, E W, Tao L, Tang YD.   +9 more
europepmc   +1 more source