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Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records

Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this con...

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Main Authors:	Ali, Aitizaz, Al-rimy, Bander Ali Saleh, Ting, Tin Tin, Altamimi, Saad Nasser, Qasem, Sultan Noman, Saeed, Faisal
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/106924/1/BanderAliSaleh2023_EmpoweringPrecisionMedicineUnlocking.pdf http://eprints.utm.my/106924/ http://dx.doi.org/10.3390/s23177476
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spelling	my.utm.1069242024-08-04T07:13:28Z http://eprints.utm.my/106924/ Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records Ali, Aitizaz Al-rimy, Bander Ali Saleh Ting, Tin Tin Altamimi, Saad Nasser Qasem, Sultan Noman Saeed, Faisal QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this context, blockchain-enabled federated learning, coupled with electronic medical records (EMRs), presents a groundbreaking solution to unlock revolutionary insights in precision medicine. This abstract explores the potential of blockchain technology to empower precision medicine by enabling secure and decentralized data sharing and analysis. By leveraging blockchain’s immutability, transparency, and cryptographic protocols, federated learning can be conducted on distributed EMR datasets without compromising patient privacy. The integration of blockchain technology ensures data integrity, traceability, and consent management, thereby addressing critical concerns associated with data privacy and security. Through the federated learning paradigm, healthcare institutions and research organizations can collaboratively train machine learning models on locally stored EMR data, without the need for data centralization. The blockchain acts as a decentralized ledger, securely recording the training process and aggregating model updates while preserving data privacy at its source. This approach allows the discovery of patterns, correlations, and novel insights across a wide range of medical conditions and patient populations. By unlocking revolutionary insights through blockchain-enabled federated learning and EMRs, precision medicine can revolutionize healthcare delivery. This paradigm shift has the potential to improve diagnosis accuracy, optimize treatment plans, identify subpopulations for clinical trials, and expedite the development of novel therapies. Furthermore, the transparent and auditable nature of blockchain technology enhances trust among stakeholders, enabling greater collaboration, data sharing, and collective intelligence in the pursuit of advancing precision medicine. In conclusion, this abstract highlights the transformative potential of blockchain-enabled federated learning in empowering precision medicine. By unlocking revolutionary insights from diverse and distributed EMR datasets, this approach paves the way for a future where healthcare is personalized, efficient, and tailored to the unique needs of each patient. MDPI 2023-08 Article PeerReviewed application/pdf en http://eprints.utm.my/106924/1/BanderAliSaleh2023_EmpoweringPrecisionMedicineUnlocking.pdf Ali, Aitizaz and Al-rimy, Bander Ali Saleh and Ting, Tin Tin and Altamimi, Saad Nasser and Qasem, Sultan Noman and Saeed, Faisal (2023) Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records. Sensors, 23 (17). pp. 1-41. ISSN 1424-8220 http://dx.doi.org/10.3390/s23177476 DOI:10.3390/s23177476
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Ali, Aitizaz Al-rimy, Bander Ali Saleh Ting, Tin Tin Altamimi, Saad Nasser Qasem, Sultan Noman Saeed, Faisal Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
description	Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this context, blockchain-enabled federated learning, coupled with electronic medical records (EMRs), presents a groundbreaking solution to unlock revolutionary insights in precision medicine. This abstract explores the potential of blockchain technology to empower precision medicine by enabling secure and decentralized data sharing and analysis. By leveraging blockchain’s immutability, transparency, and cryptographic protocols, federated learning can be conducted on distributed EMR datasets without compromising patient privacy. The integration of blockchain technology ensures data integrity, traceability, and consent management, thereby addressing critical concerns associated with data privacy and security. Through the federated learning paradigm, healthcare institutions and research organizations can collaboratively train machine learning models on locally stored EMR data, without the need for data centralization. The blockchain acts as a decentralized ledger, securely recording the training process and aggregating model updates while preserving data privacy at its source. This approach allows the discovery of patterns, correlations, and novel insights across a wide range of medical conditions and patient populations. By unlocking revolutionary insights through blockchain-enabled federated learning and EMRs, precision medicine can revolutionize healthcare delivery. This paradigm shift has the potential to improve diagnosis accuracy, optimize treatment plans, identify subpopulations for clinical trials, and expedite the development of novel therapies. Furthermore, the transparent and auditable nature of blockchain technology enhances trust among stakeholders, enabling greater collaboration, data sharing, and collective intelligence in the pursuit of advancing precision medicine. In conclusion, this abstract highlights the transformative potential of blockchain-enabled federated learning in empowering precision medicine. By unlocking revolutionary insights from diverse and distributed EMR datasets, this approach paves the way for a future where healthcare is personalized, efficient, and tailored to the unique needs of each patient.
format	Article
author	Ali, Aitizaz Al-rimy, Bander Ali Saleh Ting, Tin Tin Altamimi, Saad Nasser Qasem, Sultan Noman Saeed, Faisal
author_facet	Ali, Aitizaz Al-rimy, Bander Ali Saleh Ting, Tin Tin Altamimi, Saad Nasser Qasem, Sultan Noman Saeed, Faisal
author_sort	Ali, Aitizaz
title	Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
title_short	Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
title_full	Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
title_fullStr	Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
title_full_unstemmed	Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
title_sort	empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records
publisher	MDPI
publishDate	2023
url	http://eprints.utm.my/106924/1/BanderAliSaleh2023_EmpoweringPrecisionMedicineUnlocking.pdf http://eprints.utm.my/106924/ http://dx.doi.org/10.3390/s23177476
_version_	1806442426659766272
score	13.211869

Empowering precision medicine: unlocking revolutionary insights through blockchain-enabled federated learning and electronic medical records

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