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Medical student experiences of Case-Based Learning (CBL) at a multicultural medical school.
BMC Med Educ
January 2025
Health Professions Education Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Background: Educational research highlights active approaches to learning are more effective in knowledge retention and problem-solving. It has long been acknowledged that adapting to more active ways of learning form part of the challenge for new university students as the pedagogical distance between the didactical approach largely followed by secondary school systems the world over differs quite significantly from the often more student-led, critical approach taken by universities. University students encounter various learning challenges, particularly during the transition from secondary school to university.
View Article and Find Full Text PDFIsolation of Natural Products Using Preparative TLC.
Methods Mol Biol
January 2025
Department of Biomedical and Pharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Known for their diverse and potent physiological activities, natural products continue to be essential for the discovery and development of new drugs. This chapter explores the pivotal role of preparative thin-layer chromatography (Prep-TLC) in the isolation of natural products. This chapter begins with an understanding of the historical significance and structural complexity of natural products, and discusses the problems caused by complex mixtures present in extracts, as well as the multifunctionality, cost-effectiveness, and compatibility with different sample types of Prep-TLC to address these challenges.
View Article and Find Full Text PDFProfiling microRNA expression differentiates monozygotic twins in peripherical blood by droplet digital PCR.
Forensic Sci Int Genet
January 2025
School of Forensic Medicine, China Medical University, Shenyang 110000, PR China; Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province 110000, PR China; China Medical University Center of Forensic Investigation, Shenyang 110000, PR China. Electronic address:
It is challenging to distinguish monozygotic (MZ) twins using traditional autosomal STR genotyping due to their nearly identical genomes. As an important kind of small non-coding RNAs, microRNAs (miRNAs) are essential regulators of gene expression and considered as excellent biomarkers due to their resistance to degradation. Moreover, droplet digital PCR (ddPCR) has emerged as a powerful technique for detecting gene mutations and pathogenic microorganisms, owing to its sensitivity and reliability.
View Article and Find Full Text PDFUsp7 contributes to the tail regeneration of planarians via Islet/Wnt1 axis.
J Transl Med
January 2025
College of Life Science, Henan Normal University, Xinxiang, Henan, China.
Background: Regeneration plays a key role in energy recycling and homeostasis maintenance. Planarians, as ideal model animals for studying regeneration, stem cell proliferation, and apoptosis, have the strong regenerative abilities. Considerable evidence suggests that ubiquitin plays an important role in maintaining homeostasis and regulating regeneration, but the function of Ubiquitin specific proteases 7 (Usp7) on regeneration in planarians remains elusive.
View Article and Find Full Text PDFDecoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.
Nat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
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