Results 151 to 160 of about 66,881 (311)

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Measles Resurgence in Europe: An Open Breakthrough in the Field of Vaccine-Preventable Diseases. [PDF]

Pathogens, 2023
De Francesco MA.
europepmc   +1 more source

“More” Artificial mRNAs: Beyond the Art of Nature

Advanced Science, EarlyView.
Inspired by nature yet transcending it, synthetic mRNA is being redesigned beyond the canonical architecture. This review highlights emerging forms—circular, branched, and self‐amplifying mRNAs—that expand stability, persistence, and functional control, illustrating how artificial mRNA is evolving into a new medium for programmable biological ...
Yuanzhe Cui, Minami Fukui, Hirohisa Ohno, Hirohide Saito   +3 more
wiley   +1 more source

Entangled epidemics: tackling vaccine-preventable diseases in the era of frequent epidemics in Africa. [PDF]

Pan Afr Med J, 2023
Kouamou V, Inzaule S.
europepmc   +1 more source

Biomimetic Cell Membrane‐Coated MOFs System for Targeted Cancer Therapy

Advanced Science, EarlyView.
Biomimetic MOF‐based drug delivery nanoplatforms synthesized using liposomes or cell membranes as camouflage for multiple cancer therapeutics. ABSTRACT The integration of metal‐organic frameworks (MOFs) with cell membrane coatings has emerged as a revolutionary strategy to enhance the therapeutic efficacy of cancer nanomedicine.
Qilu Wu, Jia Song Deon Chon, Yuxiao Feng, Kang Liang, Shiming Li, Can Yang Zhang, Jun Ge   +6 more
wiley   +1 more source

Timing impact assessment for COAG Closing the Gap targets: child mortality [PDF]

This report outlines the main drivers impacting on the Council of Australian Governments target to halve the gap in child mortality within a decade. Summary In 2008, one of the 6 Closing the Gap targets agreed by the Council of Australian Governments ...

core  

Designing Scalable Mechano‐Virucidal Nanostructured Acrylic Surfaces for Enhanced Viral Inactivation

Advanced Science, EarlyView.
Can a surface be designed to physically break viruses? This study explores how nanoscale geometry—specifically the spacing of tiny pillars—can determine whether viruses remain intact or rupture. Using flexible acrylic and a scalable fabrication process, the authors develop nanopillared, transparent surfaces that show strong antiviral activity without ...
Samson W. L. Mah, Denver P. Linklater, Vassil Tzanov, Chaitali Dekiwadia, Sergey Rubanov, Phuc H. Le, Laleh Tafakori, Ranya Simons, Graeme Moad, Soichiro Saita, Takashi Yanagishita, Hideki Masuda, Vladimir Baulin, Natalie A. Borg, Elena P. Ivanova   +14 more
wiley   +1 more source

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

Risk of reintroduction of vaccine-preventable diseases in the state of São Paulo, Brazil. [PDF]

Rev Saude Publica
Santana JES, Nerger MLBR, Agostini TL, Santos JRDC, Lachtim SAF, Silva CSO, Silva TPRD, Matozinhos FP.   +7 more
europepmc   +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