Tumor‐associated inflammation retains antibody‐targeted or non‐specific antibody conjugated nanoparticles within the tumor microenvironment. Magnetic Particle Imaging (MPI) enables non‐invasive detection and differentiation of tumors from other organs, owing to higher nanoparticle retention by inflammatory cells in the tumor periphery.
Preethi Korangath +9 more
wiley +1 more source
Exosome therapy for knee osteoarthritis: a network meta-analysis based on rat models. [PDF]
Zhao Y +8 more
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Mapping the behavioral-affective network of physical activity and aggressive behavior among adolescents: a network and Bayesian graph analysis. [PDF]
Yi F, Lee MK, Zhang Z.
europepmc +1 more source
Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning [PDF]
Prateek Chanda +5 more
openalex +1 more source
Integrative multi‐cohort analyses identify 14‐3‐3γ as a biomarker and regulator of cognitive vulnerability. Experimental studies show that 14‐3‐3γ loss is associated with Tau Thr205 phosphorylation, synaptic dysfunction, and cognitive impairment, while genetic overexpression or pharmacological stabilization of 14‐3‐3γ confers protective effects in ...
Shouqiang Zhu +5 more
wiley +1 more source
Probabilistic forecasting of under-five mortality in Uganda: implications for monitoring SDG 3.2. [PDF]
Gaston RT, Ramroop S, Habyarimana F.
europepmc +1 more source
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Oxide-informed explainable machine learning with uncertainty quantification for compressive strength prediction of SCM-blended pervious concrete. [PDF]
Wani SR, Alhawiti AA, Aloraini SA.
europepmc +1 more source

