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The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations.
Interact J Med Res
January 2025
Medical Directorate, Lausanne University Hospital, Lausanne, Switzerland.
Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
View Article and Find Full Text PDFPsychometric Evidence and Measurement Invariance by College-Going Status for the Inventory of the Dimensions of Emerging Adulthood (IDEA).
J Pers Assess
January 2025
Department of Counselor Education and School Psychology, Duquesne University.
Numerous versions exist of the Inventory of the Dimensions of Emerging Adulthood (IDEA), which is used to assess normative markers of development in the 18-29 age range. However, their comparative psychometric properties have not been adequately explored, and samples including non-college-going emerging adults are rare. In Study 1, confirmatory factor analyses using survey data from 429 college-going and non-college-going emerging adults (52% female, 44% non-white) showed the IDEA-Short Form (IDEA-SF) to be the most psychometrically and conceptually sound version, demonstrating good fit for the five-factor model proposed by Arnett's (2004) theory of emerging adulthood; initial evidence for concurrent validity of the IDEA-SF scores was also presented.
View Article and Find Full Text PDFLupus and inflammatory bowel disease share a common set of microbiome features distinct from other autoimmune disorders.
Ann Rheum Dis
January 2025
Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA. Electronic address:
Objectives: This study aims to elucidate the microbial signatures associated with autoimmune diseases, particularly systemic lupus erythematosus (SLE) and inflammatory bowel disease (IBD), compared with colorectal cancer (CRC), to identify unique biomarkers and shared microbial mechanisms that could inform specific treatment protocols.
Methods: We analysed metagenomic datasets from patient cohorts with six autoimmune conditions-SLE, IBD, multiple sclerosis, myasthenia gravis, Graves' disease and ankylosing spondylitis-contrasting these with CRC metagenomes to delineate disease-specific microbial profiles. The study focused on identifying predictive biomarkers from species profiles and functional genes, integrating protein-protein interaction analyses to explore effector-like proteins and their targets in key signalling pathways.
The Effectiveness of Nonpharmacological Interventions to Reduce Procedural Pain of Pediatric Oncology Patients: A Systematic Review and Meta-analysis.
Cancer Nurs
January 2025
Author Affiliations: Departments of Pediatric Nursing (Drs Gürcan, Karataş, and Atay Turan) and Internal Disease Nursing (Dr Özer), Faculty of Nursing, Akdeniz University, Antalya, Türkiye.
Background: Relieving procedural pain in pediatric oncology is an important facilitator of the cancer treatment process.
Objective: To synthesize the effect of nonpharmacological interventions on reducing the procedural pain of pediatric oncology patients in randomized controlled trials.
Methods: A meta-analysis and systematic review for randomized controlled trials.
Deciphering the interplay between SETD2 mediated H3K36me3 and RNA N6-methyladenosine in clear cell renal cell carcinoma (ccRCC).
Epigenetics
December 2025
Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
RNA N6-methyladenosine (m6A) plays diverse roles in RNA metabolism and its deregulation contributes to tumor initiation and progression. Clear cell renal cell carcinoma (ccRCC) is characterized by near ubiquitous loss of followed by mutations in epigenetic regulators , , and . Mutations in , a histone H3 lysine 36 trimethylase (H3K36me3), are associated with reduced survival, greater metastatic propensity, and metabolic reprogramming.
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