Results 311 to 320 of about 1,007,015 (362)

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

Advanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji   +4 more
wiley   +1 more source

Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation

Advanced Intelligent Systems, EarlyView.
This study introduces a data augmentation method that expands an ophthalmology dataset by 12x, enhancing robustness and reducing overfitting. A novel VNet architecture improves accuracy by 10% over the original dataset and 5% over Grand Challenge benchmarks.
Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi   +3 more
wiley   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Altered default mode and affective network connectivity in stroke patients with and without dysphagia

, 2014
Shasha Li, Muke Zhou, Bo Yu, Zhiwei Ma, S. Chen, Qiyong Gong, Li He, Xiaoqi Huang, Su Lui, Xiaogang Wang, Dong Zhou, Can He   +11 more
openalex   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Varieties of digitalisation? A comparison of employment services digitalisation in the UK and Australia

Australian Journal of Social Issues, EarlyView.
Abstract This article examines the digitalisation of employment services in the UK and Australia, countries that have been on similar policy trajectories with respect to the development of quasi‐markets and increased digitalisation. The article deploys comparative mixed methods comprising surveys of employment service providers and interviews with ...
Jo Ingold, Chris Forde, David Robertshaw
wiley   +1 more source

Raising post‐secondary education participation of young people transitioning from care: The effects of extended legislative support

Australian Journal of Social Issues, EarlyView.
Abstract Out‐of‐home care is associated with a range of negative social outcomes for the young people who experience it. The most promising path to improved life chances for care‐experienced young people is arguably through education, especially post‐secondary education.
Naomi Tootell, Andrew Harvey
wiley   +1 more source

Astaxanthin ameliorates benzalkonium chloride–induced dry eye disease through suppressing inflammation and oxidative stress via Keap1‐Nrf2/HO‐1 signaling pathways

Animal Models and Experimental Medicine, EarlyView.
The flowchart of this research. Abstract Background Dry eye disease (DED) predominantly results from elevated tear film osmolarity, which can not only cause ocular inconvenience but may lead to visual impairments, severely compromising patient well‐being and exerting substantial economic burdens as well.
Ziyu Liu, Yaqiong Li, Jiayu Bao, Siyuan Li, Ya Wen, Peng Zhang, Jun Feng, Yinghui Wang, Lei Tian, Ying Jie   +9 more
wiley   +1 more source

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

Applications in Plant Sciences, EarlyView.
Abstract Premise Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, have demonstrated that conducting plant metabolic research on large scales yields remarkable insights.
Rachel Knapp, Braidon Johnson, Lucas Busta   +2 more
wiley   +1 more source

Using large language models to extract plant functional traits from unstructured text

Applications in Plant Sciences, EarlyView.
Abstract Premise Functional plant ecology seeks to understand how functional traits govern species distributions, community assembly, and ecosystem functions. While global trait datasets have advanced the field, substantial gaps remain, and extracting trait information from text in books, research articles, and online sources via machine learning ...
Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt   +6 more
wiley   +1 more source