Evidence map›Paper›PMID 41007183›Full record

ArticleBioengineering (Basel, Switzerland)2025

A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations.

Zohreh Izadifar, Greg Storm, Amol M Joshi, Anna Hochberg, Michael Hadjisavas, Gary Rodrigue, Steven R Bauer, James B Schmidt, Sita Somara, Anthony Atala and 3 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Zohreh IzadifarBoston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Greg StormTripleblind, 800 W 47th St #600, Kansas City, MO 64112, USA.
Amol M JoshiSchool of Business, Wake Forest University, Winston-Salem, NC 27109, USA.ORCID 0000-0002-3023-6749
Anna HochbergReMDO, Winston-Salem, NC 27101, USA.
Michael Hadjisavasp-Chip Corporation, Chicago, IL 60661, USA.
Gary RodrigueAllbright Consulting, Telluride, CO 81435, USA.
Steven R BauerWake Forest Institute for Regenerative Medicine (WFIRM), Winston-Salem, NC 27101, USA.ORCID 0000-0003-2831-846X
James B SchmidtDurendal AI Inc., Winston-Salem, NC 27101, USA.
Sita SomaraDurendal AI Inc., Winston-Salem, NC 27101, USA.
Anthony AtalaWake Forest Institute for Regenerative Medicine (WFIRM), Winston-Salem, NC 27101, USA.ORCID 0000-0001-8186-2160
Izabele HeywardCollege of Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA.ORCID 0000-0001-8104-6235
Salil DesaiCollege of Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA.ORCID 0000-0002-6116-2105
Joshua HunsbergerReMDO, Winston-Salem, NC 27101, USA.

Funding

U.S. National Science Foundation 02315654
6 · The paper itself

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.

Indexed as

artificial intelligencebiomedical innovationschain of identityfederated learningintellectual propertyknowledge hub

Identifiers

PMID41007183
PMCPMC12467719

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.