Results 71 to 80 of about 83,958 (230)
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
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 +9 more
wiley +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
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
ABSTRACT Mantle cell lymphoma (MCL) is a B‐cell malignancy with a chronically relapsing clinical course and pronounced genetic heterogeneity. To investigate the clonal dynamics underlying early disease relapse, we performed single‐cell RNA sequencing of paired tumor samples collected at diagnosis and at first relapse. Inference of copy number variants (
Dmitry Manakov +14 more
wiley +1 more source
Increased Numbers of CD4+ T‐Cells in the Hypocretin/Orexin Region of Narcolepsy Type 1
Narcolepsy type 1 (NT1) is presumed to be an autoimmune disorder caused by hypothalamic loss of hypocretin (Hcrt; orexin). In postmortem NT1 brains, we observed an 11‐fold increase of CD4+ T‐cells in the Hcrt region compared with control hypothalami, without a corresponding rise in CD8+ T‐cells.
Ling Shan +5 more
wiley +1 more source
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari +5 more
wiley +1 more source
1) Nanostructured lipid carriers efficiently vectorize low‐immunogenic M2e peptide. 2) M2e peptide conjugation via click chemistry preserves the peptide key epitopes. 3) Forty M2e peptides per nanoparticle are sufficient to induce robust immune responses.
Louis Bourlon +7 more
wiley +1 more source
Objective Complement component 4 (C4), encoded by C4A and C4B within the major histocompatibility complex (MHC) on chromosome 6, regulates the immune response and clears immune complexes. The variable copy number (CN) of C4 genes and retroviral human endogenous retrovirus K (HERV‐K) element influence its function.
Javier Martínez‐López +156 more
wiley +1 more source
HLA-D antigens in a Czech population and their association with HLA-DR antigens.
HLA-D specificities Dwl through 11 and HLA-DR antigens DRwl through WIA8 were studied on a panel of 101 unrelated individuals of the Prague HLA panel. THe HLA-D specificities were defined by means of the HLA-D homozygous typing cells in MLC test, the HLA-DR specificities were tested on B cells using VIIth Histocompatibility Workshop antisera.
E, Hinzová +3 more
openaire +1 more source

