Results 101 to 110 of about 253,053 (265)
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang +9 more
wiley +1 more source
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy +8 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
In this article, a comparison is drawn between the demographic characteristics of these two Slavonian-Srijem towns during the period of their moulding into urban entities at the end of the 18th century and beginning of the 19th.
Sanja Lazanin
doaj
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan +12 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Heroicity and sanctity in Catholic thought from early modern to contemporary age
In the Catholic Church's regulation, the heroic practice of virtues is one of the main criteria for the canonisation of saints. This article explores the complex concept of heroicity as it is used both in normative-theological literature and in texts ...
Jenny Ponzo, Eleonora Rai
doaj
An mRNA‐liposome vaccine via dissolving microneedles (ML‐DMN) enables efficient skin‐targeted delivery while preserving mRNA integrity and allowing sustained antigen expression. Unlike intramuscular (IM) injection, ML‐DMN engages skin‐resident immune cells, activates antigen‐presenting cells (APCs), and induces strong T cell and cytokine responses at ...
Jeehye Nam +9 more
wiley +1 more source
Frequencies of enamel hypomineralisation in permanent and primary molars in a medieval and early-modern-age population (7th - 17th c.) in Sains-en-Gohelle (Pas de Calais, France). [PDF]
Estivals J +4 more
europepmc +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source

