Results 151 to 160 of about 44,017 (216)

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

open access: yesAdvanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos   +6 more
wiley   +1 more source

Passivation‐Induced Species Dynamics and Microstructural Evolution in Solid‐State Lithium–Sulfur Cathodes

open access: yesAdvanced Science, EarlyView.
The formation of insulating Li2S during discharge in solid‐state lithium–sulfur batteries passivate reaction sites and limits sulfur utilization. In this work, a microstructure‐resolved modeling framework coupling transport and reaction kinetics is developed to predict charge–discharge behavior and reveal particle‐scale species evolution and incomplete
Arpan K. Sharma   +4 more
wiley   +1 more source

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

Socio-ecological factors of health literacy and physical activity among middle-aged and older Chinese adults. [PDF]

open access: yesFront Public Health
Huang L   +8 more
europepmc   +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

GenCPM: a toolbox for generalized connectome-based predictive modeling. [PDF]

open access: yesFront Neurosci
Xu B   +4 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Partial Effects in Environmental Mixtures: Evidence and Guidance on Methods and Implications. [PDF]

open access: yesEnviron Health Perspect
Kamenetsky ME   +9 more
europepmc   +1 more source

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