A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations

This perspective article presents an innovative concept for a biomanufacturing Knowledge Hub (KH), designed as a data-driven learning platform supporting the entire lifecycle of biomedical products. By integrating advanced data sharing and processing technologies, the KH aspires to connect patients, bioengineers, clinicians, regulators, companies, and investors to accelerate product development, reduce redundancies, and ultimately fast-track the delivery of biomedical innovations to patients. We discuss current challenges in accessing and sharing data within biomanufacturing and outline novel approaches for building an ecosystem that links data stores, integrates digital twins, and leverages advanced analytics. The KH offers transformative capabilities, enabling the development of new products at a substantial increased speed. It is built as a secure, quantum-resistant platform that encrypts data and allows access through advanced algorithms, creating an intelligent, collaborative environment. Users can harness collective knowledge to enhance products, launch innovations, integrate technologies, and unlock revenue opportunities based on data quality and usage. This KH aims to revolutionize biomanufacturing, offering unprecedented opportunities for innovation, better patient outcomes, and commercialization with far reaching applications beyond biomanufacturing in the future.

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Publication Details

Journal
Bioengineering
Published
2025-08-30
DOI
https://doi.org/10.3390/bioengineering12090938
Citations
1
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.67
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article

A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations

Abraham Hochberg, Amol M. Joshi, Steven R. Bauer, Joshua Hunsberger et al.
1 citations
Bioengineering
Biomedical and Engineering Education
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article

A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations

Abraham Hochberg, Amol M. Joshi, Steven R. Bauer, Joshua Hunsberger, Izabele Marquetti, Sita Somara, Anthony Atala, Zohreh Izadifar, Michael Hadjisavas, Salil Desai, Joanna Schmidt, Greg Storm, Gary Rodrigue
article en
1 citations

Abstract

This perspective article presents an innovative concept for a biomanufacturing Knowledge Hub (KH), designed as a data-driven learning platform supporting the entire lifecycle of biomedical products. By integrating advanced data sharing and processing technologies, the KH aspires to connect patients, bioengineers, clinicians, regulators, companies, and investors to accelerate product development, reduce redundancies, and ultimately fast-track the delivery of biomedical innovations to patients. We discuss current challenges in accessing and sharing data within biomanufacturing and outline novel approaches for building an ecosystem that links data stores, integrates digital twins, and leverages advanced analytics. The KH offers transformative capabilities, enabling the development of new products at a substantial increased speed. It is built as a secure, quantum-resistant platform that encrypts data and allows access through advanced algorithms, creating an intelligent, collaborative environment. Users can harness collective knowledge to enhance products, launch innovations, integrate technologies, and unlock revenue opportunities based on data quality and usage. This KH aims to revolutionize biomanufacturing, offering unprecedented opportunities for innovation, better patient outcomes, and commercialization with far reaching applications beyond biomanufacturing in the future.

BioengineeringVol. 12(9)
Boston Children's Hospital (US), Harvard University (US), Winston-Salem State University (US), Pride Foundation (US), North Carolina Agricultural and Technical State University (US), Southeast Clinical Oncology Research Consortium (US), United Continental (United States) (US), Wake Forest University (US), University of Missouri–Kansas City (US)
Openalex Percentile: Top 27%
Biomedical and Engineering Education
0.67
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