Results 141 to 150 of about 8,947,674 (288)

AI-assisted IVF company websites: a content analysis of marketing claims, information quality, legal and ethical issues. [PDF]

Hum Reprod Open
Du L, Zhang Y.
europepmc   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

A nationwide student survey on biochemistry learning resources in Italy

FEBS Open Bio, EarlyView.
We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti, Ivano Eberini, Maria Luisa Genova, Francesca Mensitieri, Francesco Malatesta   +4 more
wiley   +1 more source

Advancing Perioperative Medicine With AI: Current Landscape and Research Priorities. [PDF]

JMIR Perioper Med
Rohatgi N, Mathur P.
europepmc   +1 more source

Dactolisib outperforms Rapamycin in potentiating apoptosis induced by XPO1, Bcl‐2 and Mcl‐1 blockade in preclinical glioblastoma models

FEBS Open Bio, EarlyView.
The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao, Leonie Meyer, Madita Braun, Katharina Otte, Celine Bitter, Maite Pawlik, Hartmann Raifer, Frederik Helmprobst, Axel Pagenstecher, Hans Urban, Michael C. Burger, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jarmila Jedelská, Shamim Bagheri, Behrooz H. Yousefi, Pietro Di Fazio, Markus Luster, Andreas H. Mahnken, Andreas Neubauer, Andreas Burchert, Christopher Nimsky, Jörg W. Bartsch, Tillmann Rusch   +23 more
wiley   +1 more source

The application value of artificial intelligence in medical imaging: foundations, progress, and challenges. [PDF]

Med Rev (2021)
Sun H, Zhang Y, Shi Y, Ji B, Li C, Yang J, Grzegorzek M, Guo Q.   +7 more
europepmc   +1 more source

Design and evaluation of FEBS Education and Training Academy module – Integrating generative artificial intelligence into life‐science education

FEBS Open Bio, EarlyView.
Life‐science educators from 14 countries redesigned their own course materials with generative AI in a three‐session, pedagogy‐first FEBS Education and Training Academy workshop built on PICRAT. Among 12 matched respondents, four more reported high confidence in each of five practical domains, and 10 of 13 reported implementing at least one idea ...
Zvonimir Mlinarić, Ali Burak Özkaya
wiley   +1 more source

Artificial intelligence in orthodontics: clinical maturity, evidence gaps, and emerging applications-a narrative review. [PDF]

Saudi Dent J
Chandio K, Iftikhar L, Shehzad A, Rao I, Waseem M, Anas M, Farrukh M, Al Shalabi A, Talaat S, Sen S, Hassanein F, Elshazly T.   +11 more
europepmc   +1 more source

Computer assisted assessment and the role it plays in educational decision-making and educational justice: a case study of one teacher training college in Zimbabwe

, 2013
Although the use of computers in data-driven decision making in education was initially focused on education's core business i.e. computer aided learning (CAL), educational leaders are now using this approach to transform other aspects of their ...
Michael Kainose Mhlolo (19308757)
core  

Hydrogel platforms for 3D cardiac tissue engineering and fibrotic disease modelling

FEBS Open Bio, EarlyView.
Hydrogel‐based cardiac tissue models are advancing our understanding of heart health and disease. By incorporating electrical conductivity, aligned structures, and tunable mechanical properties, these platforms better replicate the complex environment of native heart tissue.
Harrison Porritt, Annika Winbo, Jenny Malmström   +2 more
wiley   +1 more source