A Programmable Nanovaccine Platform Based on M13 Bacteriophage for Personalized Cancer Vaccine and Therapy. [PDF]
Huang S +10 more
europepmc +1 more source
The introduction outlines the review scope. Microbial cell factories as living drugs cover host–gut microbiota, bacteria, yeast, and other microbial systems, with comparative host advantages. Engineering strategies include synthetic circuits, quorum sensing, and memory.
Cemile Elif Özçelik +3 more
wiley +1 more source
The combination of a cancer vaccine, pembrolizumab, and stereotactic body radiation in patients with locally advanced pancreatic cancer: a single-arm, phase II study. [PDF]
Lee V +30 more
europepmc +1 more source
Lighting up the path to precision oncology: This review comprehensively summarizes the rational design of carbon dots (CDs), elucidating how core size, surface chemistry, and heteroatom doping dictate their luminescence mechanisms. Special emphasis is placed on engineering NIR‐II emissive CDs for deep‐tissue imaging.
Zekun Yan +3 more
wiley +1 more source
Identification of public neoantigens with broad HLA class I coverage as candidates for off-the-shelf cancer vaccine development in colorectal cancer. [PDF]
Tran DT +16 more
europepmc +1 more source
Abstract On the centennial of higher education in Chemical Engineering in Mexico, it is pertinent to revisit the key stages that have contributed to its consolidation as a vital discipline for the nation's scientific and technological advancement. Although the initial mission of chemical engineering education was primarily oriented toward the training ...
Agustín López Munguía +3 more
wiley +1 more source
Comparison of Current Immunotherapy Approaches and Novel Anti-Cancer Vaccine Modalities for Clinical Application. [PDF]
Meade E, Garvey M.
europepmc +1 more source
Vaccination in women with cancer.
Nilma Antas Neves +5 more
openaire +2 more sources
Detecting communities when order and direction matter in social network analysis
Abstract A novel algorithm combining both node degree and edge betweenness (node degree+edge betweenness) is developed to highlight gradients in connectivity. It identifies communities within complex directed graphs. These are networks that are composed of actors who have ties that originate and end at themselves (self‐loops).
Benjamin Smith, Tyler Pittman, Wei Xu
wiley +1 more source
UK cancer vaccine advance - Recognising and realising opportunities. [PDF]
Craddock C +29 more
europepmc +1 more source

