Streamlining Organ Transplantation

Author(s)	Aditya Jangid, Deepanshi Thakur, Khushi Tikoo, Dr. Hirdesh Sharma
Country	India
Abstract	This project introduces a web-based organ donation system aimed at enhancing the efficiency and accuracy of matching organ donors with recipients. The platform collects personal and medical information from both donors and receivers, then assigns them to the nearest affiliated hospital. Hospitals provide detailed medical reports, including critical compatibility factors such as ABO blood group, HLA-A, HLA-B, HLA-DR antigens, crossmatch results, organ size, recipient weight and height, donor-receiver age, medical history, and Panel Reactive Antibody (PRA) levels. The system stores this information in two separate databases for donors and recipients. A Neural Ranking model is employed to process these parameters and perform intelligent matching, ranking potential donor-recipient pairs based on compatibility and the likelihood of transplant success. This approach aims to streamline the transplant process, reduce waiting time, and improve clinical outcomes. The platform offers a user-friendly interface to support accessibility, transparency, and awareness in organ donation.
Keywords	Organ Donation, Neural Ranking Model, Donor-Recipient Matching, Medical Compatibility, AI in Healthcare.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-31
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5577
Short DOI	https://doi.org/g9mvsm

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International Journal on Science and Technology