Transplantation & Computational Immunology

Transplantation illustrates the process of moving cells, tissues or organs from one site to another for the purpose of replacing or repairing damaged or diseased organs and tissues. But, the immune system poses a vital barrier to successful organ transplantation. The immune system plays an important role in transplantation. The complex mechanisms of immunity, which under natural circumstances work to identify foreign microbes and governs the immune system to destroy them, pose a significant barrier to successful transplantation. Transplant rejection occurs in situations where the immune system identifies the transplant as foreign, triggering a response that will eventually destroy the transplanted organ or tissue.

Computational immunology is a discipline of science that incorporates high-throughput genomic and bioinformatics approaches to immunology. It generally intends to convert immunological data into computational problems, solving them by using mathematical and computational approaches and then converting the results into immunologically meaningful interpretations.

 

  • Fundamentals of Computational Immunology
  • Computational Modeling & Immunological database
  • Use of Computational Modeling in Immunological Research
  • Bone Marrow Transplantation
  • Solid Organs Transplantation
  • Transplantation Tolerance
  • Chronic Rejection
  • Tolerance Induction; Xenotransplantation; Islet Cell Transplantation
  • Potential xenotransplantation
  • Immunoinformatics & Cyberinfrastructure for Modeling and Analytics
  • Multistage Modeling: Concepts, Technologies and Use Cases in Immunology
  • Stem Cell Transplantation

Transplantation & Computational Immunology Conference Speakers

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