Results 51 to 60 of about 49,717 (158)
Ultrasound‐responsive nanoplatforms reprogram the tumor immune microenvironment by targeting tumor cells, immune cells, and non‐immune stromal cells to enhance the efficacy of cancer immunotherapy. Abstract Cancer immunotherapy represents a significant advancement in cancer treatment by enhancing the specific recognition and elimination of cancer cells.
Shilong Zhao +4 more
wiley +1 more source
Boron Neutron Capture Therapy at a Crossroads: Translational Gap and Emerging Delivery Agents
This review surveys recent advances in boron delivery agents for BNCT, emphasizing the shift from classical small molecules to multifunctional nanocarriers and theranostic systems. By integrating targeting, imaging, and therapy, next‐generation boron compounds aim to bridge the gap between (bio)chemical innovation and clinical translation.
Christoph Selg, Evamarie Hey‐Hawkins
wiley +1 more source
Advanced extracellular vesicle immunotherapy
A diagrammatic depiction of the therapeutic applicability of extracellular vesicles (EVs) in immunotherapy. This review explores the dual roles of tumor‐derived and immune cell‐derived EVs in cancer immunotherapy, discusses recent progress in EV engineering that improve their clinical utility, and evaluates their potential to augment existing ...
Jingjing Zhang +6 more
wiley +1 more source
Molecular imprinting for neurology: Materials, applications, and limitations
Molecularly imprinted materials: diagnostic, therapeutic and research applications in neurology. Molecularly imprinted materials offer high specificity and affinity for target molecules in neurological applications. This review highlights their synthesis, characterisation, and use in diagnostics, research and therapeutics.
Xiaohan Ma +3 more
wiley +1 more source
Conditional survival in glioblastoma: The evolution of prognostic factors over time
What's New? Neurooncologists rely on glioblastoma risk stratification systems for incorporating known disease‐ and patient‐specific factors at diagnosis. Although useful for general comparison and disease monitoring, these estimates are less informative for patients who survive beyond various time intervals post‐diagnosis.
Timothy Mueller +19 more
wiley +1 more source
The Evaluation of Glioblastoma Cell Dissociation and Its Influence on Its Behavior
Purpose: Primary cell lines are a valuable tool for evaluation of tumor behavior or sensitivity to anticancer treatment and appropriate dissociation of cells could preserve genomic profile of the original tissue.
V. Skarkova +7 more
semanticscholar +1 more source
Move beyond free radical theory of aging
Free radicals play a dual, dose‐dependent role in aging. Low levels activate the key sensor adenosine 5'‐monophosphate‐activated protein kinase (AMPK), promoting cell survival mechanisms like autophagy and enhancing mitochondrial health. High levels, however, push AMPK to initiate cell death pathways, such as apoptosis. This positions AMPK as a central
Xiaofeng Dai, Meilan Hu, Ruohan Lyu
wiley +1 more source
EGFR Amplification and IDH Mutations in Glioblastoma Patients of the Northeast of Morocco
Glioblastomas are the most frequent and aggressive primary brain tumors which are expressing various evolutions, aggressiveness, and prognosis. Thus, the 2007 World Health Organization classification based solely on the histological criteria is no longer
N. Senhaji +16 more
semanticscholar +1 more source
ABSTRACT HSPA5 (also known as GRP78/BiP) is a master regulator of the endoplasmic reticulum (ER) stress response and a key node in the proteostasis network. In neuroendocrine prostate cancer (NEPC), an aggressive, therapy‐refractory lineage that emerges under pressure from androgen receptor (AR) directed therapies, GRP78 is upregulated and co‐opted to ...
Amos Olalekan Akinyemi +14 more
wiley +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source

