Results 211 to 220 of about 171,866 (315)

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

open access: yesAdvanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu   +11 more
wiley   +1 more source

Correction: The SAPIENS 3D-printed temporal bone model: a real tool for advanced otologic surgery education. [PDF]

open access: yesEur Arch Otorhinolaryngol
Iannella G   +16 more
europepmc   +1 more source

Magnetoelectric Nanotherapy Achieves Complete Tumor Ablation and Prolonged Survival in Pancreatic Cancer Murine Models

open access: yesAdvanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) serve as externally controlled, MRI‐activated theranostic agents for targeted cancer therapy by inducing electric field‐based ablation in solid tumors. MENPs enable simultaneous precise tumor ablation and MRI signal modulation, allowing real‐time treatment monitoring and prediction of therapeutic outcomes with no ...
John Michael Bryant   +28 more
wiley   +1 more source

Biomimetic Nanomedicine for Senescence‐Modulated Immune Activation Enhances Immunotherapy Efficacy in Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
A multifunctional mPDZM nanoplatform is developed in this study. mPDZM integrates chemotherapy‐induced senescence, selective senolysis, and STING‐mediated immune activation. mPDZM effectively clears senescent tumor cells, remodels the tumor immune microenvironment, and enhances antitumor T‐cell responses.
Shiji Fang   +17 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

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