Results 151 to 160 of about 25,943 (250)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Green agricultural product quality supervision based on prospect theory and evolutionary game theory for logistics enterprise live streaming. [PDF]
Hu Q, Guo E, Feng F, Zhao S.
europepmc +1 more source
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh +11 more
wiley +1 more source
The complete mitochondrial genome and phylogenetic analysis of the Jawala paste shrimp, <i>Acetes indicus</i> (Decapoda, Dendrobranchiata, Sergestidae). [PDF]
Cha JE +6 more
europepmc +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Exosomal miR-145-5p inhibits papillary thyroid cancer by targeting <i>TPM3</i> and inactivating the PI3K-Akt pathway. [PDF]
Weng Y, Cao X, Song W, He Q.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Digital transformation and emerging technologies in healthcare and pharmaceutical supply chains: a bibliometric mapping review. [PDF]
Zhalbirova G +5 more
europepmc +1 more source

