Results 171 to 180 of about 93,522 (265)

DynaBiome: interpretable unsupervised learning of gut microbiome dysbiosis via temporal deep models. [PDF]

BMC Bioinformatics
Qureshi A, Wahid A, Qazi S, Shahzad MK, Kiani HM, Asif MDA.   +5 more
europepmc   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source

Decoding the unseen: unsupervised anomaly detection in metal-organic frameworks for discovery beyond the norm. [PDF]

Chem Sci
Alimardani H, Abaei S, Asgari M.
europepmc   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

Journal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics, Balint Molnar, Csaba Pinter, David García‐Mato, Andres Diaz‐Pinto, Attila Tanacs, Andrea Dobos, Peter Windisch, Christoph A. Ramseier   +8 more
wiley   +1 more source

A deep ensemble encoder network method for improved polygenic risk score prediction. [PDF]

BioData Min
Ozdemir OB, Chen R, Wu O, Li R.
europepmc   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

Laser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja, Albin J. Svärdsby, Timo Gahlmann, Philippe Tassin   +3 more
wiley   +1 more source

Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening. [PDF]

Sci Rep
Chilukuri R, P P, Gatla RK, Almenweer RA.   +3 more
europepmc   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source

Digital watermarking for virtual physically unclonable function data concealment and authentication. [PDF]

Sci Rep
Khan R, Saleh H, Mefgouda B, Alhussein O, Muhaidat S.   +4 more
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source