Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/scd.13083 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring peer learning module vs. conventional tutorials: effects on engagement and learning outcomes among first-year medical students.
BMC Med Educ
January 2025
Department of Biochemistry, Manipal Tata Medical College, Manipal Academy of Higher Education, Manipal, 576104, India.
Background: In contemporary medical education, it is essential to raise student involvement and active participation in the learning process. By contrasting small-group peer learning modules with teacher-led conventional tutorial sessions, we aim to provide insights into their respective influences on learning outcomes and the overall learning experience among 150 first-year medical students.
Methods: Each group consisted of 50 students.
Development of a rapid and highly sensitive nucleic acid-based diagnostic test for schistosomes, leveraging on identical multi-repeat sequences.
Front Parasitol
March 2024
Center for Research in Infectious Diseases, College of Graduate Studies and Research, Mount Kenya University, Thika, Kenya.
Introduction: Schistosomiasis (Bilharzia), a neglected tropical disease caused by parasites, afflicts over 240 million people globally, disproportionately impacting Sub-Saharan Africa. Current diagnostic tests, despite their utility, suffer from limitations like low sensitivity. Polymerase chain reaction (PCR) and quantitative real-time PCR (qPCR) remain the most common and sensitive nucleic acid amplification tests.
View Article and Find Full Text PDFPredicting Reliable Improvements in Primary Care Youth Mental Health.
Early Interv Psychiatry
January 2025
Jigsaw: The National Centre for Youth Mental Health, Dublin, Ireland.
Background: Amid a youth mental health crisis, community-based early intervention services have shown promising outcomes. Understanding the specific factors that predict clinical outcomes is crucial for enhancing intervention efficacy, yet these factors remain insufficiently understood.
Aim: This study examined the individual and service-related factors associated with reliable improvement for young people (n = 4565) aged 12-25 years attending a brief primary care youth talk therapy mental health service across 14 sites.
Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning.
Radiol Phys Technol
January 2025
Department of Diagnostic Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
Article Synopsis
- Self-supervised learning (SSL) is increasingly being used in medical imaging, particularly through methods like the Jigsaw puzzle task, which helps models learn features and relationships within images without needing labeled data.
- The study evaluated different pre-training methods on mammographic images from the Chinese Mammography Database, comparing the effectiveness of models that used Jigsaw puzzles, ImageNet tasks, or no pre-training at all in detecting breast cancer.
- Results showed that models utilizing the Jigsaw puzzle task achieved the highest area under the curve (AUC) scores, indicating its potential to improve classification accuracy even with limited data.
Jigsaw as a Revision Module for Enhancing Learning in Biochemistry Among First-Year Medical Students.
Cureus
November 2024
Department of Biochemistry, All India Institute of Medical Sciences, Punjab, IND.
Aim Biochemistry includes the elaborate study of various biomolecules and intricate mechanisms that first-year medical students find difficult to understand and retain when taught through didactic lectures. Therefore, this study aims to test the effectiveness of jigsaw as a revision module in increasing the knowledge and retention capacity of students in Biochemistry. Materials and methods Eighty students were enrolled in the study.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!