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Record W4402931249 · doi:10.6000/1929-5995.2024.13.14

Recent Progress in Hydrogel-Based Bioinks for 3D Bioprinting: A Patent Landscape Analysis and Technology Updates

2024· article· en· W4402931249 on OpenAlex
Raja Saadan, Chaymaa Hachimi Alaoui, Khurrum Shehzad Quraishi, Faisal Afridi, Mohamed Chigr, Ahmed Fatimi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Research Updates in Polymer Science · 2024
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsnot available
FundersCampus FranceCentre National pour la Recherche Scientifique et Technique
Keywords3D bioprintingIntellectual propertyField (mathematics)NanotechnologyBusinessData scienceKnowledge managementComputer scienceEngineeringMaterials scienceTissue engineeringBiomedical engineering

Abstract

fetched live from OpenAlex

Hydrogel-based bioinks have emerged as a critical component in the field of three-dimensional (3D) bioprinting, with numerous polymers being explored and utilized for this purpose. The high volume of patent applications reflects a competitive and dynamic research environment, where various entities are actively developing new formulations and applications for hydrogel-based bioinks. As this field continues to evolve, tracking these trends is essential for understanding the future direction of the technology and identifying key innovations and players in the industry. This study reveals substantial growth in the patent landscape for hydrogel-based bioinks in 3D bioprinting, with 173 patent documents published between 2013 and 2024. The marked increase in patent filings, particularly from 2018 onwards, underscores the growing recognition of the technologys potential in diverse applications, including tissue engineering and regenerative medicine. Although patent applications have outpaced granted patents, the steady rise in granted patents indicates the fields maturation and the transition of innovations from concept to legally protected technologies. The leading patent applicants in this domain include both industry leaders and academic institutions. Companies such as Organovo INC and Cellink AB are driving innovation through extensive patent activity, while academic institutions and foundations also make significant contributions, highlighting a robust ecosystem where industrial and academic research propel the technology forward. The global distribution of intellectual property filings in this field is broad, with significant activity in the United States, Europe, and Asia. This diversity in patenting jurisdictions reflects the global interest in advancing bioprinting technologies, particularly for healthcare applications. Patent classifications for hydrogel-based bioinks in 3D bioprinting illustrate the convergence of materials science, biotechnology, and advanced manufacturing. These classifications highlight the diverse applications of bioinks, ranging from tissue regeneration and stem cell therapy to the development of medical devices and multifunctional bioactive materials based on polymers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.016
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.362
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it