SecureStem Software for Optimized Stem Cell Banking Management

SecureStem Software for Optimized Stem Cell Banking Management

Asmita Yadav, Cyrus Thapa, Nipun Garg, Om Verma
ISBN13: 9798369335024|ISBN13 Softcover: 9798369348758|EISBN13: 9798369335031
DOI: 10.4018/979-8-3693-3502-4.ch014
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MLA

Yadav, Asmita, et al. "SecureStem Software for Optimized Stem Cell Banking Management." Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, edited by Avinash Kumar Sharma, et al., IGI Global, 2024, pp. 218-237. https://doi.org/10.4018/979-8-3693-3502-4.ch014

APA

Yadav, A., Thapa, C., Garg, N., & Verma, O. (2024). SecureStem Software for Optimized Stem Cell Banking Management. In A. Sharma, N. Chanderwal, A. Prajapati, P. Singh, & M. Kansal (Eds.), Advancing Software Engineering Through AI, Federated Learning, and Large Language Models (pp. 218-237). IGI Global. https://doi.org/10.4018/979-8-3693-3502-4.ch014

Chicago

Yadav, Asmita, et al. "SecureStem Software for Optimized Stem Cell Banking Management." In Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, edited by Avinash Kumar Sharma, et al., 218-237. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3502-4.ch014

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Abstract

In the current era, fraudulent activities in stem cell banking have risen, exploiting vulnerable patients. Some banks transfer stem cells without transparency. Blockchain tackles this by ensuring secure transactions. A smart contract-driven agent verifies blockchain blocks, boosting transparency. Blockchain digitizes stem cell transactions, ensuring accessible records. This initiative optimizes stem cell supply chain management by tracking specific blocks and their transaction history. The authors can swiftly allocate stem cells to patients, offering timely accessibility and a clear advantage to those in need.

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