Results 61 to 70 of about 627,035 (125)
A mathematical model for growth of solid tumors and combination therapy with an application to colorectal cancer [PDF]
arXiv, 2016 We present a mathematical model, based on ordinary differential equations, for the evolution of solid tumors and their response to treatment. Specifically the effects of a cytotoxic agent and a monoclonal antibody are included as control term in the equations.
arxiv
An Asymptotic Analysis of Bivalent Monoclonal Antibody-Antigen Binding [PDF]
arXivLigand-receptor interactions are fundamental to many biological processes. For example in antibody-based immunotherapies, the dynamics of an antibody binding with its target antigen directly influence the potency and efficacy of monoclonal antibody (mAb) therapies.
arxiv
Role of Antibodies: A Novel Paradigm in Mathematical Modeling for Cancer Treatment [PDF]
arXiv, 2010 A mathematical model for the quantitative analysis of cancer immune interaction, considering the role of antibodies has been proposed in this paper. The model is based on the clinical evidence, which states that antibodies can directly kill cancerous cells [1].
arxiv
Hematology, Transfusion and Cell TherapyObinutuzumab, an anti CD-20 monoclonal antibody, can be used in combination with venetoclax, ibrutinib or acalabrutinib in CLL patients with newly diagnosed or relaps patient's treatment indications. Another anti CD-20 monoclonal antibody, rituximab, has
Zekeriya Aksöz
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Monoclonal antibodies. Basic features
Neurología (English Edition), 2011 Introduction: Monoclonal antibodies are a powerful tool in laboratory diagnosis and are increasingly used in the treatment of several diseases. Development: Antibody development and characterization has a long history and goes back to immunology itself ...
A. García Merino
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Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin [PDF]
arXivMonoclonal antibodies (mAbs) represent one of the most prevalent FDA-approved modalities for treating autoimmune diseases, infectious diseases, and cancers. However, discovery and development of therapeutic antibodies remains a time-consuming and expensive process. Recent advancements in machine learning (ML) and artificial intelligence (AI) have shown
arxiv
Monoclonal Antibodies production technology
Boletim de Indústria Animal, 2011 Since the first cells were capable of maintain a continuous antibody supply, developed by Köhler and Milstein in 1975, its use in medicine and industry showed a great potential.
Flávia Rocha +1 more
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Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production [PDF]
arXivThis paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall short due to time-series data's complexity and high dimensionality.
arxiv
Journal of Education, Health and SportIntroduction and purpose: Over the past two decades, the management of severe asthma shifted from high doses of inhaled and oral corticosteroids to targeted biologic agents.
Izabela Orzołek +4 more
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Bispecific antibodies: design, therapy, perspectives
Drug Design, Development and Therapy, 2018 Sergey E Sedykh, Victor V Prinz, Valentina N Buneva, Georgy A Nevinsky Laboratory of Repair Enzymes, Siberian Branch of Russian Academy of Sciences Institute of Chemical Biology and Fundamental Medicine, Novosibirsk State University, Novosibirsk, Russia
Sedykh SE +3 more
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