Abstract
The development of antibody-based therapies for the treatment of both acute and chronic leukemias have undoubtedly been one of the most important advances in the treatment of leukemia. The importance of these novel agents lies not only in their unique mechanisms of action, but also their improved side effect profile which allows patients of advanced age or with significant co-morbid medical conditions to receive potentially beneficial therapies. Advances in therapeutic applications of monoclonal antibodies have come from a greater understanding of the biological characteristics of the antibody, as well as the _target antigen, both of which impact the potential efficacy of a particular antibody. In the following review we will discuss the clinical development and potential roles of monoclonal antibodies in the treatment of both acute and chronic leukemias.
Call for Papers in Thematic Issues
Artificial Intelligence in Bioinformatics
Bioinformatics is an interdisciplinary field that analyzes and explores biological data. This field combines biology and information system. Artificial Intelligence (AI) has attracted great attention as it tries to replicate human intelligence. It has become common technology for analyzing and solving complex data and problems and encompasses sub-fields of machine ...read more
Latest Advancements in Biotherapeutics.
The scope of this thematic issue is to comprehensively explore the rapidly evolving landscape of biotherapeutics, emphasizing breakthroughs in precision medicine. Encompassing diverse therapeutic modalities, the issue will delve into the latest developments in monoclonal antibodies, CRISPR/Cas gene editing, CAR-T cell therapies, and innovative drug delivery systems, such as nanoparticle-based ...read more
Machine Learning and Artificial Intelligence for Medical Data Analysis and Human Information Analysis in Healthcare
The intersection of machine learning (ML) and artificial intelligence (AI) with the pharmaceutical industry is revolutionizing traditional paradigms in drug discovery and development. These technologies have introduced innovative approaches to analyzing complex datasets and predicting chemical properties, leading to more efficient identification and optimization of drug candidates. By employing sophisticated ...read more
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