Evidence map›Paper›PMID 27051516›Full record

ReviewInterface focus2016

In silico regenerative medicine: how computational tools allow regulatory and financial challenges to be addressed in a volatile market.

L Geris, Y Guyot, J Schrooten, I Papantoniou

Abstract readReview
In one paragraph

Review in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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

4 authors.

L GerisPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Biomechanics Research Unit, Université de Liège, Chemin des Chevreuils 1 - BAT 52/3, Liège 4000, Belgium; Department of Mechanical Engineering, Biomechanics Section, KU Leuven, Celestijnenlaan 300C-PB 2419, Leuven 3001, Belgium.
Y GuyotPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Biomechanics Research Unit, Université de Liège, Chemin des Chevreuils 1 - BAT 52/3, Liège 4000, Belgium.
J SchrootenAntleron BVBA , Leuven , Belgium.
I PapantoniouPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Skeletal Biology and Engineering Research Center, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium.

Funding

European Research Council 279100
6 · The paper itself

Abstract

The cell therapy market is a highly volatile one, due to the use of disruptive technologies, the current economic situation and the small size of the market. In such a market, companies as well as academic research institutes are in need of tools to advance their understanding and, at the same time, reduce their R&D costs, increase product quality and productivity, and reduce the time to market. An additional difficulty is the regulatory path that needs to be followed, which is challenging in the case of cell-based therapeutic products and should rely on the implementation of quality by design (QbD) principles. In silico modelling is a tool that allows the above-mentioned challenges to be addressed in the field of regenerative medicine. This review discusses such in silico models and focuses more specifically on the bioprocess. Three (clusters of) examples related to this subject are discussed. The first example comes from the pharmaceutical engineering field where QbD principles and their implementation through the use of in silico models are both a regulatory and economic necessity. The second example is related to the production of red blood cells. The described in silico model is mainly used to investigate the manufacturing process of the cell-therapeutic product, and pays special attention to the economic viability of the process. Finally, we describe the set-up of a model capturing essential events in the development of a tissue-engineered combination product in the context of bone tissue engineering. For each of the examples, a short introduction to some economic aspects is given, followed by a description of the in silico tool or tools that have been developed to allow the implementation of QbD principles and optimal design.

Indexed as

bioprocessbioreactorin silico modelregenerative medicinetissue engineering

Identifiers

PMID27051516
PMCPMC4759755

What OpenQuestion 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 OpenQuestion graph.