Results 221 to 230 of about 718,596 (262)
CINPred: a risk prediction tool for cervical intraepithelial neoplasia. [PDF]
Gu J +9 more
europepmc +1 more source
By fusing ACE2‐overexpressing membrane‐integrated liposome (MIL) with copper nanoparticles, the biomimetic Cu@MIL nanostructures were created that directly hijack the SARS‐CoV‐2 entry pathway. These particles combine potent virus‐targeting precision with intrinsic antiviral activity, achieving rapid neutralization and disinfection.
Pooja Aich +8 more
wiley +1 more source
Exploring oceanic depths: unveiling hidden treasures with IoT and ensembled deep hybrid learning model. [PDF]
Tada S, Jeevanantham V.
europepmc +1 more source
A versatile approach is presented for fabricating smart multifunctional textiles by integrating thermo‐fluorescent carbon dot/polymer nanocomposite coatings with 3D‐printed interlocked architectures. The fabrics exhibit temperature‐responsive fluorescence, durable hydrophobicity, strong antibacterial and antioxidant activity, and enhanced UV protection.
Poushali Das +8 more
wiley +1 more source
A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators. [PDF]
Zhu W +5 more
europepmc +1 more source
An advanced microneedle patch integrating niobium carbide nanosheets and curcumin is engineered for diabetic wound healing. The system enables dual ROS scavenging and NIR‐enhanced antimicrobial activity, effectively rebalancing the oxidative microenvironment, promoting macrophage repolarization and angiogenesis, and accelerating full‐thickness wound ...
Zhi Zheng +12 more
wiley +1 more source
Estimating the Hydrogen Bond Strength by Machine Learning Approaches. [PDF]
Samangani N, Zahn S.
europepmc +1 more source
Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang +4 more
wiley +1 more source
Integration of machine learning and microstructural characterization for strength forecasting with silica fume and M-sand for sustainable concrete. [PDF]
Chaitanya BK +5 more
europepmc +1 more source
Machine Learning Approach to Predict Postoperative Pain and Opioid Usage in Elective Primary Spine Surgery: A Retrospective Study. [PDF]
Saksenberg DL +7 more
europepmc +1 more source

