Results 261 to 270 of about 7,343,069 (347)

Hyper‐Intense Tumor Peripheral Accumulation of Antibody‐Conjugated Iron Oxide Nanoparticles can Enable Breast Cancer Detection by Magnetic Particle Imaging

open access: yesAdvanced Science, EarlyView.
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]

open access: yesStem Cells Transl Med
Zhao Y   +8 more
europepmc   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
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

Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning [PDF]

open access: green
Prateek Chanda   +5 more
openalex   +1 more source

14‐3‐3γ Protects Against Postoperative Cognitive Dysfunction by Regulating Tau Thr205 Phosphorylation and Synaptic Integrity

open access: yesAdvanced Science, EarlyView.
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

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
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

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