Results 221 to 230 of about 60,311 (308)

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics. [PDF]

J Zhejiang Univ Sci B
Tang B, Feng Y, Gao X, Mao M, Zhang Y.
europepmc   +1 more source

Breaking Extrapolation Barriers: Dual Innovations for Property and Component Design of Multi‐Component Alloy

Materials Genome Engineering Advances, EarlyView.
This study breaks extrapolation barriers in alloy design by merging symbolic regression with latent space sampling. The dual‐strategy framework enables accurate prediction of high‐hardness properties and navigates uncharted compositional spaces. The approach successfully designs novel high‐entropy alloys with hardness exceeding 863.5 HV, demonstrating ...
Zhigang Yu, Boyu Zhao, Jianhua Chen, Jun Luan, Yunying Fan, Xingli Zou, Xionggang Lu   +6 more
wiley   +1 more source

A decoupled perception-control training pipeline for vision-based deep reinforcement learning, with cross-domain and cross-reward transfer extensions. [PDF]

MethodsX
Haja Z, Berrich J, Bouchentouf T.
europepmc   +1 more source

A Modular Hybrid Framework for CEST MRI Development and Clinical Translation Using pTx‐Pulseq Preparation With Open‐ and Closed‐Source Readouts and ONNX Mapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Chemical exchange saturation transfer (CEST) MRI offers unique metabolic insights for imaging of cancer, stroke, or neurodegeneration. However, the rapid expansion of CEST preparation schemes and evaluation techniques creates a bottleneck; novel methods often remain complex prototypes requiring offline processing, preventing clinical ...
Martin Freudensprung, Junaid R. Rajput, Patrick Liebig, Simon Weinmüller, Ludwig Singer, Nikita Vladimirov, Or Perlman, Armin Michael Nagel, Arnd Doerfler, Moritz Zaiss   +9 more
wiley   +1 more source

Data-Driven Sparse Reconstruction Framework for Anomaly Detection in Smart Manufacturing Environment. [PDF]

Sensors (Basel)
Park JK, Baek Y.
europepmc   +1 more source

Whole‐Ventricle Cardiac Cine MRI in a Single Breath‐Hold With Slice‐ and Time‐Dependent Deep Image Prior at 0.55T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a whole‐ventricle cardiac cine MRI radial acquisition at 0.55T in a single breath‐hold scan of approximately 12–15 s, reconstructed using a novel self‐supervised slice and time‐dependent deep image prior (ST‐DIP) neural network.
Rafael de la Sotta, Tabita Catalán, Carlota Rivera, Francisco Sahli Costabal, Rene M. Botnar, Claudia Prieto   +5 more
wiley   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

A denoising autoencoder-enhanced ResNet 50 framework for explainable brain tumor classification using MRI. [PDF]

Front Oncol
Alelyani M, Alamri S, Alghamdi AJ, Alotaibi S, Faizo NL, Alshehri A, Alzaidi AA, Asiri AA, Baeshen A, Aldusary N, Alonazi B.   +10 more
europepmc   +1 more source