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| http://dx.doi.org/10.1016/j.tmaid.2021.102248 | DOI Listing |
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Tripartite organization of brain state dynamics underlying spoken narrative comprehension.
Elife
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University & IDG/McGovern Institute for Brain Research, Beijing, China.
Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally to complex semantic-conceptual interpretations. How the brain handles the diverse streams of information processing remains poorly understood. Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space.
View Article and Find Full Text PDFAlgorithmic profiling as a source of hermeneutical injustice.
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February 2024
Utrecht University, Utrecht, Netherlands.
It is well-established that algorithms can be instruments of injustice. It is less frequently discussed, however, how current modes of AI deployment often make the very discovery of injustice difficult, if not impossible. In this article, we focus on the effects of algorithmic profiling on epistemic agency.
View Article and Find Full Text PDFProductivity Losses due to Health Problems Arising from COVID-19 Pandemic: A Systematic Review of Population-Level Studies Worldwide.
Appl Health Econ Health Policy
January 2025
Department of Health Economics, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland.
Aim: To systematically review the evidence on productivity losses due to health problems arising from the COVID-19 pandemic based on evidence from population-level studies.
Methods: Following PRISMA statement, we conducted a systematic review using Medline, Embase, Scopus, Web of Science, EconLit, WHO COVID-19 Research and EuropePMC databases and a grey literature search. We included population-level studies using secondary data and qualitatively assessed eligible studies.
Approaches to Incorporation of Preferences into Health Economic Models of Genomic Medicine: A Critical Interpretive Synthesis and Conceptual Framework.
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January 2025
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Introduction: Genomic medicine has features that make it preference sensitive and amenable to model-based health economic evaluation. Preferences of patients, caregivers, and clinicians related to the uptake and delivery of genomic medicine technologies and services that are not captured in health state utility weights can affect the intervention's cost-effectiveness and budget impact. However, there is currently no established or agreed-on approach for integrating preference information into economic evaluations.
View Article and Find Full Text PDFSafety, Tolerability, and Pharmacokinetics of a Novel Anti-obesity Agent, S-309309, in Healthy Adults with or Without Obesity.
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Medical Science Department, Shionogi & Co., Ltd., Osaka, Japan.
Background: Anti-obesity medications are recommended for patients who do not achieve and maintain weight loss despite lifestyle interventions. S-309309 is a novel oral inhibitor of monoacylglycerol O-acyltransferase 2 being developed as a treatment for obesity.
Objective: The objective of the study was to investigate the safety, clinical pharmacology, pharmacokinetics and pharmacodynamic biomarker of S-309309.
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