Results 241 to 250 of about 330,204 (355)

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

Advanced Science, EarlyView.
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, Tianyu Shao, Fengjiang Qu, Caiyun Bai, Sijie Li, Pin Gao, Wenna Li, Keman Cheng, Xiao Zhao, Zhimin Fan   +9 more
wiley   +1 more source

Pertussis-A Re-Emerging Threat Despite Immunization: An Analysis of Vaccine Effectiveness and Antibiotic Resistance. [PDF]

Int J Mol Sci
Duda-Madej A, Łabaz J, Topola E, Bazan H, Viscardi S.   +4 more
europepmc   +1 more source

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

Advanced Science, EarlyView.
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin, Dingqin Cai, Chunli Jian, Yaxian Qi, Linpeng Zheng, Qiao Yang, Longyao Zhang, Diangang Chen, Lingchen Li, Ping Cai, Lingyou Sun, Luping Zhang, Jianguo Sun   +12 more
wiley   +1 more source

Typhoid vaccine effective [PDF]

Nature Reviews Gastroenterology & Hepatology, 2009
openaire   +1 more source

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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Strengthening vaccine effectiveness research to rebuild public trust: A call for global participation. [PDF]

PLOS Glob Public Health
Sulis G, Brouwers M.
europepmc   +1 more source

Therapeutic Gases in Biomedicine: Updates on Nitric Oxide and Beyond

Advanced Science, EarlyView.
Therapeutic gases, including NO, CO, H2S, H2, CO2, O2, and Xe, play vital roles in cellular signaling and repair. This review highlights the emerging carriers and delivery systems that enable controlled, localized gas release for diagnostic and therapeutic applications.
Syed Muntazir Andrabi, Navatha Shree Sharma, Imran Ibn Gani Rather, S. M. Shatil Shahriar, Jingwei Xie   +4 more
wiley   +1 more source

Interim vaccine effectiveness against influenza virus among outpatients, France, October 2025 to January 2026. [PDF]

Euro Surveill
De Clercq A, Blanquart F, Vieillefond V, Visseaux B, Jacques A, Haim-Boukobza S, Wehrle V, Deleglise G, Duret T, Bernard-Stoecklin S, Perez-Bercoff D, Oblette A, Lina B, Rameix-Welti MA, Josset L, Enouf V, Bal A, RELAB study group.   +17 more
europepmc   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source