Results 231 to 240 of about 229,925 (327)

Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies

open access: yesiMetaMed, EarlyView.
By conducting case studies and comparative analysis from a global perspective, this study develops the practical framework of Medical Data Element Ecosystem (MDEE)—one that facilitates MDEE construction by guiding actions, informing policy‐making, and enabling stakeholder engagement.
Jian Wang   +10 more
wiley   +1 more source

TargetGen‐RNN model discovers novel antibiotic compound targeting drug‐resistant Staphylococcus aureus

open access: yesInterdisciplinary Medicine, EarlyView.
TargetGen‐recurrent neural network (RNN), an advanced generative model, generated 28,708 unique and novel compounds, identifying SAK‐2970 as a potent antibiotic against drug‐resistant Staphylococcus aureus. Exhibiting strong biofilm inhibition, high therapeutic efficacy, and minimal systemic toxicity in vivo, SAK‐2970 highlights its safety and clinical
Shakeel Ahmad Khan   +2 more
wiley   +1 more source

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

open access: yesiRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding   +6 more
wiley   +1 more source

Transferable adversarial attacks for multi-model systems coupling image fusion with classification models [PDF]

open access: diamond
Pengcheng Zhu   +6 more
openalex   +1 more source

The Impact of Artificial Intelligence on Energy Conservation and Emission Reduction: Evidence From China's Listed Firms

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT Artificial intelligence (AI) plays an increasingly pivotal role in advancing sustainable economic development. While existing literature predominantly examines the environmental impact of AI technologies from national or sectoral perspectives, this study provides a micro‐level analysis of its effects on energy conservation and emission ...
Qiannan Zhu, Zhengyu Zhang
wiley   +1 more source

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