Results 161 to 170 of about 5,928 (266)
Abstract Background Precision oncology requires diagnostic sampling that delivers molecularly actionable material quickly and safely. In non‐small cell lung cancer (NSCLC), core‐needle biopsy (CNB) remains common. Yet fine‐needle aspiration (FNA) has re‐emerged with rapid on‐site evaluation (ROSE), optimized cell blocks, and next‐generation sequencing.
Jiayuan Guo +4 more
wiley +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
An Overview and Recent Developments in the Analysis of Multistate Processes. [PDF]
Gorfine M +8 more
europepmc +1 more source
ABSTRACT Background As agentic artificial intelligence (AI) systems move beyond tool‐like support toward more autonomous, team‐like roles, a central question concerns the extent to which such systems can meaningfully participate in collaborative learning.
Yueqiao Jin +4 more
wiley +1 more source
Advances in Biosimilars: A Systematic Review of Machine Learning Applications. [PDF]
Duarte V, Bas TG.
europepmc +1 more source
ABSTRACT With the massive increase in genomic resources, it is becoming increasingly popular to analyse thousands of loci across many species. However, many of the available genomes are not annotated, which hinders an efficient search for orthologous protein‐coding genes.
Gwenaelle Vigo +4 more
wiley +1 more source
Beyond visual inspection: the deep learning revolution in quantitative cerebrovascular imaging. [PDF]
Mao X, Yang H, Weng S, Peng F, Xu J.
europepmc +1 more source
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici +3 more
wiley +1 more source
Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning. [PDF]
Zhang X +10 more
europepmc +1 more source
Insight of Elementary Steps on the Polyethylene and Polypropylene Co‐Pyrolysis
Pyrolysis of PP initiates first, accelerating PE cracking via secondary radical transfer, leading to n‐hydrocarbon yield enhancement. Py–GC/MS and nanoreactor computation are in agreement on the elementary step proposal. ABSTRACT Pyrolysis with gas chromatography & mass spectrometry (Py–GC/MS) technique was employed to analyze the yield variation of ...
Naiwen Xu +6 more
wiley +1 more source

