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Establishing and evaluating trustworthy AI: overview and research challenges.
Front Big Data
November 2024
Know Center Research GmbH, Graz, Austria.
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a result, there has been a surge in public and academic discussions about aspects that AI systems must fulfill to be considered trustworthy.
View Article and Find Full Text PDFNeuroinflammation in Alzheimer disease.
Nat Rev Immunol
December 2024
Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette/Belvaux, Luxembourg.
Article Synopsis
- Research highlights the significant role of immune processes in the development of Alzheimer's disease, which is the leading cause of dementia.
- Various studies indicate that both innate and adaptive immune responses contribute to the disease's pathology and are influenced by genetics and lifestyle factors.
- New therapeutic approaches targeting neuroinflammation are being explored in clinical settings, offering potential treatment options for Alzheimer's patients.
Disease-modifying treatment and disability progression in subclasses of patients with primary progressive MS: results from the Big MS Data Network.
J Neurol Neurosurg Psychiatry
December 2024
Department of Neurology, The Alfred Hospital, Melbourne, Victoria, Australia.
Background: Effectiveness of disease-modifying treatment (DMT) in people affected by primary progressive multiple sclerosis (PPMS) is limited. Whether specific subgroups may benefit more from DMT in a real-world setting remains unclear. Our aim was to investigate the potential effect of DMT on disability worsening among patients with PPMS stratified by different disability trajectories.
View Article and Find Full Text PDFCollaborative Policymaking: a qualitative systematic review of advice for policymakers.
Open Res Eur
September 2024
Faculty of Arts and Humanities, University of Stirling Division of History Heritage and Politics, Stirling, Scotland, FK94LA, UK.
Background: Complex policy problems are not amenable to simple solutions by a few powerful policy actors in one central government. They require collaboration across government and between actors inside and outside of government. However, this for collaboration is no guarantee of collective action.
View Article and Find Full Text PDFOntology extension by online clustering with large language model agents.
Front Big Data
October 2024
Department of Computer Science, Emory University, Atlanta, GA, United States.
Article Synopsis
- An ontology is a framework that organizes concepts and relationships in a specific area, crucial for understanding in fields like computational linguistics and knowledge representation.
- This paper introduces a method to automatically expand an existing ontology using streaming data without needing extensive labeled data or specialized knowledge, particularly in the medical domain.
- The method utilizes Large Language Models for tasks like identifying medical symptoms from online patient discussions and classifying these symptoms into the ontology, demonstrating effective real-time integration and minimal reliance on human input.
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