Digital transformation and artificial intelligence integration in cytopathology: From standardization to emerging semi-quantitative paradigms. [PDF]
Akca Y.
europepmc +1 more source
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang +3 more
wiley +1 more source
TensoGraph: a tensor-transformer framework for global-local drug synergy prediction on heterogeneous graphs. [PDF]
Wang X, Zhang D, Li L.
europepmc +1 more source
Hierarchically engineered electrocatalysts for durable oxygen reduction in zinc–air batteries
Abstract Rechargeable zinc–air batteries (ZABs) are promising energy storage systems but are limited by sluggish oxygen reduction reaction (ORR) kinetics at the air cathode. Herein, we report hierarchically engineered cobalt tetraaminophthalocyanine/MXene (CoPc/MXene) electrocatalysts prepared via cetyltrimethylammonium bromide‐mediated self‐assembly ...
Rui Guo +6 more
wiley +1 more source
CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning. [PDF]
Xu C, Zhu S, Viswanathan V.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
In Vivo Imaging With a Low-Cost MRI Scanner and Cloud Data Processing in Low-Resource Settings. [PDF]
Guallart-Naval T +18 more
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
From High-Density Genomic Mapping to Precision Molecular Breeding: A Comprehensive Review of <i>Capsicum</i> Genomic Resources. [PDF]
Wang L +8 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

