Medical students’ active involvement in the process of learning and acquiring the knowledge allow to develop passions and skills. The aim of learning should be to increase the number of students involved and satisfied with the learning process. Positive results can be achieved by creating attractive and accessible conditions for students to learn. The search for techniques that increase student involvement, the introduction of new teaching methods and student-oriented education should be a permanent element of modern teaching. Short courses, particularly with a small number of participants, pose certain organizational challenges. The students start the course often with significantly different initial basic knowledge and background. Additionally small number of students highlights their different expectations. In order to interest all students, a number of modern, active teaching methods should be implemented and applied. Thus we ultimately will achieve the result in increased students satisfaction with the simultaneous achievement of the intended learning outcomes within the course. Moreover one of the most important goals of the course is for the student to acquire such skills and knowledge that will be future-job useful for them. The aim of this article is to describe the changes planned in the course "Biochemistry with Elements of Chemistry" for Emergency Medical Services. The article focuses on presenting proposals for educational techniques, the application of which will create conditions for improving and equalizing student learning experience. The planned modifications are expected to increase the satisfaction of educators from teaching and students from learning. The basic change in the course concept will be the transition from the general transfer of knowledge in form of information presentation, to student centered learning and their active participation in the learning process. It is planned to introduce remote (on-line) teaching using e-learning platforms, and available online interactive teaching tools such as polleverywhere (https://www.polleverywhere.com/) or perusall (https://perusall.com/inactivity). Moreover, Case based learning, activation techniques embedded in the context of the future emergency services profession, such as role-playing, critical analysis of results or reporting, will be introduced.
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http://dx.doi.org/10.18388/pb.2020_339 | DOI Listing |
Palliat Support Care
January 2025
Department of Theology and Religious Education, College of Liberal Arts, Manila, Philippines.
Teaching death, spirituality, and palliative care equips students with critical skills and perspectives for holistic patient care. This interdisciplinary approach fosters empathy, resilience, and personal growth while enhancing competence in end-of-life care. Using experiential methods like simulations and real patient interactions, educators bridge theory and practice.
View Article and Find Full Text PDFPalliat Support Care
January 2025
Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Objectives: Explore humanitarian healthcare professionals' (HCPs) perceptions about implementing children's palliative care and to identify their educational needs and challenges, including learning topics, training methods, and barriers to education.
Methods: Humanitarian HCPs were interviewed about perspectives on children's palliative care and preferences and needs for training. Interviews were transcribed, coded, and arranged into overarching themes.
Brief Bioinform
November 2024
School of Engineering, Westlake University, No. 600 Dunyu Road, 310030 Zhejiang, P.R. China.
Single-cell RNA sequencing (scRNA-seq) offers remarkable insights into cellular development and differentiation by capturing the gene expression profiles of individual cells. The role of dimensionality reduction and visualization in the interpretation of scRNA-seq data has gained widely acceptance. However, current methods face several challenges, including incomplete structure-preserving strategies and high distortion in embeddings, which fail to effectively model complex cell trajectories with multiple branches.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Biotherapeutics Molecule Discovery, Boehringer Ingelheim Pharmaceutical Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.
Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).
View Article and Find Full Text PDFAccurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.
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