Results 131 to 140 of about 49,854 (268)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
PaEDNet: A Robust Denoising and Classification Framework for Vibration-Based Fault Diagnosis with Measurement Noise. [PDF]
Sensors (Basel)Liao X +7 more
europepmc +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Advanced Intelligent Discovery, EarlyView.Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Hepatology, EarlyView., 2022 In this study of the gut mucosal microbiota in primary sclerosing cholangitis (PSC), we found consistent microbiota features associated with PSC and recurrent PSC, PSC with inflammatory bowel disease and a persistent gut dysbiosis after liver transplantation Abstract Background and Aims Several characteristic features of the fecal microbiota have been ...
Mikal Jacob Hole +12 more
wiley +1 more source
A Robust Multivariate Thresholding Function for Sparse and Biomedical Signal Reconstruction. [PDF]
Sensors (Basel)Ullah H, Gaire S, Graves CA.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Enhancing low-dose CT denoising via multi-view knowledge transfer without paired data. [PDF]
Front RadiolYou Y, Xu L, Wei G, Hua F, Hu Y.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
CryoPromptSeg: prompt-guided segmentation with integrated denoising for cryo-EM particle picking. [PDF]
BioinformaticsYang B, You Y, Jin L, Yu H, Zhang L.
europepmc +1 more source