Synopsis of recent research by authors named "Sivan Cohen"
- Sivan Cohen's recent research focuses on the immunogenicity of therapeutic antibodies, particularly bispecific IgG antibodies and monoclonal antibodies, highlighting engineering strategies to minimize unwanted immune responses that could affect treatment efficacy.
- His work explores advanced modeling techniques, including machine learning and graph neural networks, to predict and assess immune responses related to MHC class II peptide presentation and associated anti-drug antibodies.
- Cohen has also contributed to the understanding of how inherent characteristics, such as V gene usage in therapeutic antibodies, can influence immunogenicity, emphasizing the significant role of antibody engineering in clinical applications.
