Results 91 to 100 of about 145,182 (282)

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

An An Ethical Framework for Mitigating AI Algorithmic Bias in Information Resource Development

Journal of Information Sciences
This opinion paper takes up the crucial topic of algorithmic bias for AI powered collection development, asserting that these biases have the potential to create disparities, stifle intellectual openness and undermine principles in academic libraries ...
Muhammad Ibrahim
doaj   +1 more source

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz, Ryan Cooper, Stefania Kaninia, Kathryn I. Challis, Will Greenway, Maria Bonello, Mahmoud Elbahnasawi, Deborah T. Shode, Dominika Gajdasik, Victor Iliev, Alison M. E. Whitelegg, Ian Galea   +11 more
wiley   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Oops? Interdisciplinary Stories of Sociotechnical Error| Fake It Till You Make It: Synthetic Data and Algorithmic Bias

International Journal of Communication
This article interrogates the claim that synthetic data is a risk-free and ethical solution to algorithmic bias. Synthetic data refers to artificial intelligence (AI)-generated datasets that substitute real-life data to train machine learning (ML ...
Sook-Lin Toh, Jiwon Park
doaj   +2 more sources

Balancing Bias Mitigation and Data Protection in AI-Driven Healthcare

University of Vienna Law Review
This paper examines the regulatory tensions between algorithmic bias mitigation and data protection in AI-driven healthcare within the European Union’s legal framework.
Fatma Sümeyra Doğan
doaj   +1 more source

Gender and positional biases in LLM-based hiring decisions: evidence from comparative CV/résumé evaluations [PDF]

PeerJ Computer Science
This study examines the choices made by Large Language Models (LLMs) when selecting professional candidates for a job based on their résumés or curricula vitae (CVs).
David Rozado
doaj   +2 more sources

Bias in Machine Learning Algorithms

Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2019
Bias in machine learning algorithms has emerged as a critical concern, casting a shadow on the perceived objectivity and fairness of these systems. This paper delves into the multifaceted landscape of biases inherent in machine learning models, exploring their origins, manifestations, implications, and potential remedies.
Indrani Sharma, Bhimraj Rathodiya
openaire   +1 more source

Association of CDKN2A/B Homozygous Deletion and Extent of Resection With Survival of Patients With WHO CNS5 Grade 4 Astrocytoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai, Guanglin Zhu, Qiu He, Chen Luo, Lingyun Zhuo, Xingfu Wang, Yiming Chen, Xiaoyong Chen, Wendong You, Jiaheng Xu, Yuanxiang Lin, Dezhi Kang, Shuai Wu, Zanyi Wu   +13 more
wiley   +1 more source

Algorithmic Governance: Gender Bias in AI-Generated Policymaking?

Human-Centric Intelligent Systems
Artificial Intelligence (AI) tools are becoming deeply embedded in everyday life and increasingly influence or automate decision-making processes that could shape not only public opinion but also policies. As their potential impact grows, it is essential
Dialekti Athina Voutyrakou, Constantine Skordoulis   +1 more
doaj   +1 more source