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Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.
Cancer Med
January 2025
Department of Respiratory Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Background: Lung adenocarcinoma (LUAD) exhibits molecular heterogeneity, with mitochondrial damage affecting progression. The relationship between mitochondrial damage and immune infiltration, and Weighted Gene Co-expression Network Analysis (WGCNA)-derived biomarkers for LUAD classification and prognosis, remains unexplored.
Aims: The objective of our research is to identify gene modules closely related to the clinical stages of LUAD using the WGCNA method.
The power of personas: Exploring an innovative model for understanding stakeholder perspectives in an oncology learning health network.
Learn Health Syst
January 2025
Northwell New Hyde Park New York USA.
Introduction: Learning health networks (LHNs) improve clinical outcomes by applying core tenets of continuous quality improvements (QI) to reach community-defined outcomes, data-sharing, and empowered interdisciplinary teams including patients and caregivers. LHNs provide an ideal environment for the rapid adoption of evidence-based guidelines and translation of research and best practices at scale. When an LHN is established, it is critical to understand the needs of all stakeholders.
View Article and Find Full Text PDFAn Omega-Hierarchical Extension Index for Second-Order Constructs With Hierarchical Measuring Instruments.
Educ Psychol Meas
January 2025
Yale University, New Haven, CT, USA.
An index extending the widely used omega-hierarchical coefficient is discussed, which can be used for evaluating the influence of a second-order factor on the interrelationships among the components of a hierarchical measuring instrument. The index represents a useful and informative complement to the traditional omega-hierarchical measure of explained overall scale score variance by that underlying construct. A point and interval estimation procedure is outlined for the described index, which is based on model reparameterization and is developed within the latent variable modeling framework.
View Article and Find Full Text PDFLatent Variable Analysis of Demographic and Clinical Drivers of Care Intensity Before Palliative Care Consultation Among Older Adult Patients with Traumatic Brain Injury.
Neurocrit Care
January 2025
Department of Neurosurgery, The Johns Hopkins University School of Medicine, 1800 Orleans Street, Baltimore, MD, 21287, USA.
Background: Traumatic brain injury (TBI) is a significant cause of morbidity and mortality in the older adult population, and palliative care consultation can assist in goals-of-care discussions. However, patterns of hospital care delivered before consultation are understudied for older adult patients with TBI. The objective of this study was to identify demographic and clinical drivers of preconsultation care intensity in this population.
View Article and Find Full Text PDFApplication of modern artificial intelligence techniques in the development of organic molecular force fields.
Phys Chem Chem Phys
January 2025
Institute of Materials Research (IMR), Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
The molecular force field (FF) determines the accuracy of molecular dynamics (MD) and is one of the major bottlenecks that limits the application of MD in molecular design. Recently, artificial intelligence (AI) techniques, such as machine-learning potentials (MLPs), have been rapidly reshaping the landscape of MD. Meanwhile, organic molecular systems feature unique characteristics, and require more careful treatment in both model construction, optimization, and validation.
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