Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
In the regenerative medicine field, allogenic transplantation of regenerated tissues has been promoted because autologous transplantation setting is costly and time-consuming to prepare and therefore unsuitable for emergent treatment.
Kyoko Masuda, Hiroshi Kawamoto
doaj +1 more source
Carbohydrate moieties of major histocompatibility complex class I alloantigens are not required for their recognition by T lymphocytes. [PDF]
The ability to generate specific cytotoxic responses using purified major histocompatibility complex (MHC) antigen in liposomes has made it possible to directly assess the importance of class I carbohydrate moieties in T cell recognition of alloantigen ...
Goldstein, SA, Mescher, MF
core
Studying Macromolecular Composition in Cell–Cell Interfaces Using 3D Membrane Reconstitution Systems
A comprehensive understanding of the interactions between proteins, lipids and glycocalyx components at the immune synapse is still lacking. Here, an artificial and a semi‐artificial model contact system were established to reconstitute the cell‐cell contact in 3D. The model systems enable the examination of macromolecule enrichment or depletion at the
Franziska Ragaller +9 more
wiley +1 more source
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is routinely used to treat hematopoietic malignancies. The eradication of residual tumor cells during engraftment is mediated by donor cytotoxic T lymphocytes reactive to alloantigens.
Nadia A. Bykova +2 more
doaj +1 more source
Molecular modeling of an antigenic complex between a viral peptide and a class I major histocompatibility glycoprotein [PDF]
Computer simulation of the conformations of short antigenic peptides (&lo residues) either free or bound to their receptor, the major histocompatibility complex (MHC)- encoded glycoprotein H-2 Ld, was employed to explain experimentally determined ...
Allen +38 more
core +1 more source
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source
Molecular determinants of chaperone interactions on MHC-I for folding and antigen repertoire selection. [PDF]
The interplay between a highly polymorphic set of MHC-I alleles and molecular chaperones shapes the repertoire of peptide antigens displayed on the cell surface for T cell surveillance.
Choi, Hannah +10 more
core
CD8+ T-cell responses in vaccination: Reconsidering targets and function in the context of chronic antigen stimulation [PDF]
Cytotoxic CD8 T cells play important roles in eliminating infected and transformed cells. Owing to their potential for therapeutic applications, significant efforts are dedicated toward developing CD8 T cell-based vaccines.
Cosma, Gabriela L., Eisenlohr, Laurence
core +2 more sources
Stem Cell Transplantation As A Dynamical System: Are Clinical Outcomes Deterministic? [PDF]
Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune
Buck, Gregory A +16 more
core +6 more sources

