Results 111 to 120 of about 54,259 (246)
Macrophage Extracellular Traps in Immunity and Cancer
Advanced Science, EarlyView.As a macrophage‐mediated innate defense mechanism, the dysregulated release of METs drives chronic inflammation and influences tumor progression. Furthermore, METs exhibit a functional duality within the tumor microenvironment, capable of both promoting and suppressing tumor development.
Junyao Li +5 more
wiley +1 more source
Dualities in Persistent (Co)Homology [PDF]
, 2012 We consider sequences of absolute and relative homology and cohomology groups that arise naturally for a filtered cell complex. We establish algebraic relationships between their persistence modules, and show that they contain equivalent ...
Silva, Vin de
core
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
Advanced Science, EarlyView.T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
Advanced Science, EarlyView.HNRNPD promotes radioresistance in nasopharyngeal carcinoma by enhancing stress granule assembly and sequestering GRAMD4 mRNA. This suppresses GRAMD4 translation and inhibits mitochondrial apoptosis. Targeting the integrated stress response with ISRIB restores GRAMD4 expression and sensitizes tumors to radiotherapy, revealing a translational control ...
Yingzi Li +13 more
wiley +1 more source
Persistent Homology via Ellipsoids
CoRRPersistent homology is one of the most popular methods in topological data analysis. An initial step in its use involves constructing a nested sequence of simplicial complexes. There is an abundance of different complexes to choose from, with Čech, Rips, alpha, and witness complexes being popular choices.
Canova, Niklas +4 more
openaire +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.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
Subsampling Methods for Persistent Homology
, 2015 International audiencePersistent homology is a multiscale method for analyzing the shape of sets and functions from point cloud data arising from an unknown distribution supported on those sets. When the size of the sample is large, direct computation of
Wasserman, Larry +5 more
core +1 more source
A Kernel for Multiparameter Persistence
, 2019 Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques, We contribute a kernel construction for multiparameter persistence by integrating a one-parameter kernel along ...
Kerber, Michael
core
Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain
Advanced Science, EarlyView.In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun +27 more
wiley +1 more source
Advanced Science, EarlyView.This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source