Results 171 to 180 of about 835,450 (267)

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
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]

open access: yesJ Am Med Inform Assoc
Brown KE   +7 more
europepmc   +1 more source

Why Computational Photochemistry Is Challenging and Will Probably Remain So: A Quantum Chemist's Perspective

open access: yesAdvanced Science, EarlyView.
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

open access: yesQuaestio Facti
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  

Revolutionizing Lithium Metal Anodes With 3D‐Printed Topology‐Optimized Hosts for Enhanced Stability

open access: yesAdvanced Science, EarlyView.
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

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

open access: yesAdvanced Science, EarlyView.
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

Faire / Se faire

open access: yesTravail et formation, 2021
openaire   +1 more source

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