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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction.
PLoS Comput Biol
January 2025
School of Software, Taiyuan University of Technology, Taiyuan, China.
Personalized cancer drug treatment is emerging as a frontier issue in modern medical research. Considering the genomic differences among cancer patients, determining the most effective drug treatment plan is a complex and crucial task. In response to these challenges, this study introduces the Adaptive Sparse Graph Contrastive Learning Network (ASGCL), an innovative approach to unraveling latent interactions in the complex context of cancer cell lines and drugs.
View Article and Find Full Text PDFAbnormalities in male gametophytes development responsible for low seed set of Peudosasa subsolida.
PLoS One
January 2025
The Key Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Yunnan, China.
Pseudosasa subsolida belongs to the Pseudosasa genus within the Poaceae family. Due to its unique flowering cycle and the physiological traits associated with asexual reproduction, acquiring floral material from P. subsolida is particularly challenging.
View Article and Find Full Text PDFLong-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.
J Am Med Inform Assoc
January 2025
Institute of Intelligent Rehabilitation Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Background: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregivers may make mistakes or face confusion during the care plan development process. Consequently, there is a rigid demand for intelligent systems that can recommend comprehensive long-term care plans for older adults with disabilities who have stable clinical conditions.
View Article and Find Full Text PDFA positive empathy intervention to improve well-being on Instagram.
Emotion
January 2025
Department of Psychology, University of Toronto, Scarborough.
With more than half the global population on social media, there is a critical need to understand how to engage it in a way that improves rather than worsens user well-being. Here, we show that positive empathy is a promising tool. Participants who received brief positive empathy instructions before 10 min of browsing their own Instagram feed showed greater affective well-being (Studies 1-4) and life satisfaction (Study 4) at posttest relative to participants who were instructed to browse as usual.
View Article and Find Full Text PDFPredicting competitive alpine skiing performance by multivariable statistics-the need for individual profiling.
Front Sports Act Living
January 2025
Section of Sports Medicine, Department of Community Medicine and Rehabilitation, Umeå School of Sport Sciences, Umeå University, Umeå, Sweden.
Introduction: Predicting competitive alpine skiing performance using conventional statistical methods has proven challenging. Many studies assessing the relationship between physiological performance and skiing outcomes have employed statistical methods of questionable validity. Furthermore, the reliance on Fédération Internationale de Ski (FIS) points as a performance outcome variable presents additional limitations due to its potential unreliability in reflecting short-term, sport-specific performance.
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