Results 171 to 180 of about 835,450 (267)
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance. [PDF]
Brown KE +7 more
europepmc +1 more source
Computational Photochemistry has made great strides in recent decades, but the investigation of larger molecules remains a challenge due to the inherent dilemma between the increasing computational accuracy required as the molecule size increases and the inevitable explosion in computational effort.
Andreas Dreuw
wiley +1 more source
Epistemic Injustice in the Criminal Trial
Jasmine Gonzales Rose, Rachel Herdy, Tareeq Jalloh and Abenaa Owusu-Bempah have each written a paper commenting on my essay ‘Evidential Reasoning, Testimonial Injustice and the Fairness of the Criminal Trial’, which appeared in Quaestio Facti in 2024 ...
Federico Picinali
doaj
Federated Learning in Healthcare Ethics: A Systematic Review of Privacy-Preserving and Equitable Medical AI. [PDF]
Mir BA, Abbas SR, Lee SW.
europepmc +1 more source
Revolutionizing Lithium Metal Anodes With 3D‐Printed Topology‐Optimized Hosts for Enhanced Stability
This study presents a topology‐optimized lithium metal anode host fabricated via digital light processing (DLP) 3D printing. The reinforced microstructure provides mechanical stability, suppresses dendrite growth, and accommodates volume changes.
Xin Hu +5 more
wiley +1 more source
Dual path fairness optimization for graph neural network based recommendation. [PDF]
Yang C, Lu K, He J, Huang S, Cheng J.
europepmc +1 more source
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Fairness evaluation of collaborative governance of food safety in Jilin Province based on AHP-FCE model: multi-dimensional difference analysis and policy implications research. [PDF]
Qi X, Chen Y, Yu X.
europepmc +1 more source

