Results 171 to 180 of about 436,450 (285)

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

Design and Long-Term Sustainability of Mini Health Centers for Primary Healthcare in Chennai, India. [PDF]

Cureus
Williams JD, Seshadri S, Kalaiselvan A, Vijayaraman A, Chandrasekaran S, Parthasarathy S.   +5 more
europepmc   +1 more source

Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics

Advanced Science, EarlyView.
This review provides a systematic comparison of extracellular vesicles (EVs) from both mammalian and plant sources in the context of autoimmune diseases. It highlights their emerging roles as precision biomarkers and engineered therapeutic platforms.
Yufei Wu, Huiyuan Ma, Tinghui Zhu, Shuwei Huang, Manxi Lu, Qiong Wang, Zai‐Long Chi   +6 more
wiley   +1 more source

The Avian MHC-Antigen System

The Journal of Poultry Science, 2002
Diana Wesselinova
doaj   +1 more source

AI-powered mapping of tumor immunity for optimized mRNA vaccine engineering. [PDF]

Front Oncol
Srivastava R.
europepmc   +1 more source

MHC

Revista de Ciência Elementar, 2014
openaire   +1 more source

REGULATION OF MHC TRANSCRIPTION

Transplantation, 1990
Halloran, Philip F., Madrenas, Joaquín   +1 more
openaire   +3 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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Reverse vaccinology-based design of a universal multiepitope vaccine against chikungunya virus: Phylogenetic and immunoinformatics approaches. [PDF]

Sci Rep
Hakim MS.
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