CAR T-Cell Therapy
Cell therapy in which a patient's or donor's T cells are engineered with a synthetic receptor that recognises a selected disease antigen.
A living academic reference written, refined and transparently versioned by the Sciendia community.
Collaborative knowledgeSearch
15 results
Wiki pages are public to read. Every signed-in member can create and improve them.
Clear searchCell therapy in which a patient's or donor's T cells are engineered with a synthetic receptor that recognises a selected disease antigen.
The reciprocal control between cellular metabolic pathways and the activation, differentiation and function of immune cells.
The control of very small fluid volumes in engineered channels for analysis, synthesis and biological experimentation.
Medicines that deliver engineered messenger RNA so cells transiently produce a therapeutic protein or antigen.
Cellular pathways that deliver cytoplasmic material to lysosomes or vacuoles for degradation, quality control and recycling.
Layer-by-layer fabrication of living tissue constructs using cells, biomaterials and spatially controlled deposition.
Endogenous biological cycles near twenty-four hours that coordinate physiology and behaviour with environmental time.
Neural-network systems that model relationships among tokens using attention and parallel sequence processing.
The molecular decoding of messenger RNA into an ordered amino-acid chain by ribosomes and transfer RNAs.
Three-dimensional, self-organising cell cultures that reproduce selected structural and functional features of organs.
The design and construction of biological systems using engineering principles, quantitative models and molecular tools.
Machine-learning architectures that learn representations from entities connected by relational structure.
Vaccines that deliver temporary genetic instructions so cells produce an antigen and train adaptive immunity.
The process by which an amino-acid chain acquires the three-dimensional structure needed for biological function.
Layered computational models that learn distributed representations by adjusting weighted connections from data.