Results 91 to 100 of about 33,185 (292)

Neurological manifestations of SARS-CoV-2 infection in children in Taiwan: A cross-section, multicenter study

Journal of the Formosan Medical Association
Background: The SARS-CoV-2 virus has been a global public health threat since December 2019. This study aims to investigate the neurological characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Taiwanese children, using data from a ...
Yen-Ju Chu, Lee-Chin Wong, Che-Sheng Ho, Jia-Yun Huang, I-Chun Lee, Hsin-Pei Wang, Cheng-Hsien Huang, Chia-Jui Hsu, Wen-Hsin Hsu, Yu-Chia Kao, Bi-Chun Duan, Inn-Chi Lee, Yung-Ting Kuo, Fu-Man Chang, Su-Ching Hu, Chang-Chun Wu, Lung-Chang Lin, Wan-Ling Hsiao, Chuan-Yu Wang, Kun-Long Hung, Hsiao-Ju Chi, Shi-Bing Wong, Wang-Tso Lee   +22 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Visual hallucinations in psychosis

Psychiatry Research, 2019
The Dutch version of the Visual Hallucination Questionnaire was used to assess lifetime visual hallucinations (VH) characteristics in 27 patients with psychosis. Our results confirmed substantial variance in many VH characteristics. Most patients reported multiple VH types.
van Ommen, M M, van Laar, T, Cornelissen, F W, Bruggeman, R   +3 more
openaire   +2 more sources

Visual Correspondence Hallucination

, 2021
Given a pair of partially overlapping source and target images and a keypoint in the source image, the keypoint's correspondent in the target image can be either visible, occluded or outside the field of view. Local feature matching methods are only able to identify the correspondent's location when it is visible, while humans can also hallucinate its ...
Germain, Hugo, Lepetit, Vincent, Bourmaud, Guillaume   +2 more
openaire   +4 more sources

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

Annals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono, Hiroaki Sekiya, Alexia R. Maier, Neill R. Graff‐Radford, Zbigniew K. Wszolek, Dennis W. Dickson   +5 more
wiley   +1 more source

The Multidimensional Spectrum of Imagination: Images, Dreams, Hallucinations, and Active, Imaginative Perception

Humanities, 2014
A theory of the structure and cognitive function of the human imagination that attempts to do justice to traditional intuitions about its psychological centrality is developed, largely through a detailed critique of the theory propounded by Colin McGinn.
Nigel J.T. Thomas
doaj   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source