AIMC Topic: Immunotherapy, Adoptive
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Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity.
Cell
Apr 11, 2025
Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of hematological malignancies, but poor specificity has limited its applicability to solid tumors. By contrast, natural T cells harboring T cell receptors...
Plasma Cytokine and Chemokine Profiles Predict Efficacy and Toxicity of Anti-CD19 CAR-T Cell Therapy in Large B-Cell Lymphoma.
Clinical lymphoma, myeloma & leukemia
Feb 20, 2025
BACKGROUND: Anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising treatment for large B-cell lymphoma (LBCL); however, durable complete responses are achieved in only 30% to 40% of patients. Additionally, CAR-T therapy...
The transformative potential of AI-driven CRISPR-Cas9 genome editing to enhance CAR T-cell therapy.
Computers in biology and medicine
Sep 10, 2024
This narrative review examines the promising potential of integrating artificial intelligence (AI) with CRISPR-Cas9 genome editing to advance CAR T-cell therapy. AI algorithms offer unparalleled precision in identifying genetic targets, essential for...
A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach.
Scientific reports
Jun 13, 2024
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients with hematological malignancies. However, some concerns remain that they may cause serious cardiovascular adverse events (AEs), for which data are scar...
Reinforcement learning-guided control strategies for CAR T-cell activation and expansion.
Biotechnology and bioengineering
May 29, 2024
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufacturing processes, such as improved production of therapeutic cells. Here, the process of CAR T-cell activation by antigen-presenting beads and their ...
PrCRS: a prediction model of severe CRS in CAR-T therapy based on transfer learning.
BMC bioinformatics
May 20, 2024
BACKGROUND: CAR-T cell therapy represents a novel approach for the treatment of hematologic malignancies and solid tumors. However, its implementation is accompanied by the emergence of potentially life-threatening adverse events known as cytokine re...
Improving chimeric antigen receptor T-cell therapies by using artificial intelligence and internet of things technologies: A narrative review.
European journal of pharmacology
Apr 26, 2024
Cancer poses a formidable challenge in the field of medical science, prompting the exploration of innovative and efficient treatment strategies. One revolutionary breakthrough in cancer therapy is Chimeric Antigen Receptor (CAR) T-cell therapy, an av...
Development of a robotic cluster for automated and scalable cell therapy manufacturing.
Cytotherapy
Mar 15, 2024
BACKGROUND AIMS: The production of commercial autologous cell therapies such as chimeric antigen receptor T cells requires complex manual manufacturing processes. Skilled labor costs and challenges in manufacturing scale-out have contributed to high ...
Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy.
Molecular oncology
Apr 1, 2023
Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notably demonstrated by chimeric antigen receptor (CAR) T cells as cancer immunotherapy. Building on the success of T-cell activation using synthetic recept...
RCMNet: A deep learning model assists CAR-T therapy for leukemia.
Computers in biology and medicine
Sep 11, 2022
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although a satisfactory remission of the disease can be achieved, the risk of ...
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