Results 121 to 130 of about 1,783,301 (320)
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools [PDF]
arXivAs more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical AI-enabled patient care. Despite the evolving importance of AI in healthcare, the extent to which it has been adopted into traditional and often-overloaded medical curricula ...
arxiv
FEBS Open Bio, EarlyView.Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui +15 more
wiley +1 more source
The mobile information and educational environment of higher educational institution [PDF]
Cherkasy University Bulletin: Pedagogical Sciences 11 (2016) 20-27, 2018 In the modern world in the conditions of informatization of society and high level of competition at the labor-market the problem of preparation of specialists appears to the use of modern information and of communication technologies. Modern higher educational establishment must become the core of innovative education with problem preparation of ...
arxiv
Continuing Medical Education—Terms and Conditions
International Journal of Gerontology, 2017 doaj +7 more sources
FEBS Open Bio, EarlyView.Cerebral organoids were employed as a novel model to explore the neurotoxicity of soman. Soman inhibited acetylcholinesterase activity, increased cell apoptosis and upregulated endoplasmic reticulum (ER) stress markers glucose‐regulated protein 78 (GRP78), activating transcription factor 6 (ATF6) and C/EBP homologous protein (CHOP).
Yue Wei +7 more
wiley +1 more source
Evaluating large language models in medical applications: a survey [PDF]
arXivLarge language models (LLMs) have emerged as powerful tools with transformative potential across numerous domains, including healthcare and medicine. In the medical domain, LLMs hold promise for tasks ranging from clinical decision support to patient education.
arxiv
Advanced glycation end products promote the release of endothelial cell‐derived mitocytosis
FEBS Open Bio, EarlyView.Under diabetic conditions, AGEs induce mitochondrial damage in HUVECs, activating migrasome‐mediated mitocytosis. Migrasomes encapsulate damaged mitochondria and are released into the extracellular space, facilitating intercellular mitochondrial transfer.
Rong Liu +6 more
wiley +1 more source
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations [PDF]
arXivLarge Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical consultation and diagnosis.
arxiv
FEBS Open Bio, EarlyView.In human monocytic cells THP‐1, a limited uptake of native—not oxidized—LDL/VLDL induced expression of scavenger receptor A and cellular adhesion. Induction was inhibited by lysosomotropic (WR‐1065) and lipophilic (BHT) antioxidants and by siRNAs against ferritinophagy.
Martina Čierna +4 more
wiley +1 more source
Medillustrator: Improving Retrospective Learning in Physicians' Continuous Medical Education via Multimodal Diagnostic Data Alignment and Representation [PDF]
arXivContinuous Medical Education (CME) plays a vital role in physicians' ongoing professional development. Beyond immediate diagnoses, physicians utilize multimodal diagnostic data for retrospective learning, engaging in self-directed analysis and collaborative discussions with peers. However, learning from such data effectively poses challenges for novice
arxiv