Results 261 to 270 of about 222,396 (351)

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

Interdisciplinary 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, Adnan Shakoor, Sadia Kanwal   +2 more
wiley   +1 more source

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

iRADIOLOGY, 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, Hao Dang, Jiayi Luo, Xiaoyu Zhuo, Ningyu Huang, Junsheng Xiao, Zongwang Lv   +6 more
wiley   +1 more source

A hybrid attention generative adversarial network for Chinese landscape painting. [PDF]

Sci Rep
Lyu Q, Zhao N, Sun Z, Yang Y, Zhang C, Shi R.   +5 more
europepmc   +1 more source

HYBRID QUANTUM-CLASSICAL GENERATIVE ADVERSARIAL NETWORK FOR FAKE FACE DETECTION

Shahad Ghazi Hunbuli
openalex   +2 more sources

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

International 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

MAMBA-BASED RESIDUAL GENERATIVE ADVERSARIAL NETWORK FOR FUNCTIONAL CONNECTIVITY HARMONIZATION DURING INFANCY. [PDF]

Proc IEEE Int Symp Biomed Imaging
Xia W, Zhang X, Hu D, Cheng J, Yin W, Wu Z, Wang L, Lin W, Li G.   +8 more
europepmc   +1 more source

The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions

Journal of Intelligent Medicine, EarlyView.
Abstract Machine learning (ML) and generative artificial intelligence (GAI) in recent years are rapidly revolutionizing the healthcare industry offering improved precision and efficiency of healthcare delivery. The use of these advanced technologies in healthcare such as medical imaging, drug discoveries, predictive analytics, and personalized medicine
Muhammad Umar, Laiba Shamim, Imshaal Musharaf, Pakeezah Tabasum, Vani Malhotra, Kanza Farhan, Ayesha Hidayat, Muhammad Waqas, Amna Anwar, Maria Qadri, Shahana Reza   +10 more
wiley   +1 more source

Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection. [PDF]

PeerJ Comput Sci
Raza A, Sehar R, Moiz A, Alluhaidan AS, El-Rahman SA, AbdElminaam DS.   +5 more
europepmc   +1 more source

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar, Maryam Tayebi, Eryn Kwon, Joshua McGeown, William Schierding, Alan Wang, Justin Fernandez, Samantha Holdsworth, Vickie Shim   +8 more
wiley   +1 more source

Exposing Face Manipulation Based on Generative Adversarial Network-Transformer and Fake Frequency Noise Traces. [PDF]

Sensors (Basel)
Man Q, Cho YI.
europepmc   +1 more source