Evidence map›Paper›PMID 38918304›Full record

ArticleAAPS PharmSciTech2024

Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.

Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel

Abstract read
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In one paragraph

Article in AAPS PharmSciTech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Patric MüllerInstitut für Multiskalensimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Achim SackInstitut für Multiskalensimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jens DümlerInstitut für Multiskalensimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Michael HeckelInstitut für Multiskalensimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Tim WenzelDivision of Pharmaceutics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Freeze Drying Focus Group, Erlangen, Germany.
Teresa SiegertDivision of Pharmaceutics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Freeze Drying Focus Group, Erlangen, Germany.
Sonja Schuldt-Liebmedac GmbH, Wedel, Germany.
Henning GieselerGILYOS GmbH, Würzburg, Germany.
Thorsten PöschelInstitut für Multiskalensimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. thorsten.poeschel@fau.de.ORCID http://orcid.org/0000-0001-5913-1070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not only time-consuming and labor-intensive but also expensive and prone to errors. In this paper, we present an approach for fully automated, non-destructive inspection of freeze-dried pharmaceuticals, leveraging robotics, computed tomography, and machine learning.

Indexed as

Freeze DryingMachine LearningAutomationChemistry, PharmaceuticalPharmaceutical PreparationsQuality ControlRoboticsTechnology, PharmaceuticalTomography, X-Ray ComputedPharmaceutical Preparationsfreeze-dryinglyopohilisatenon-destructive inspectionX-ray tomography

Identifiers

What OpenQuestion holds

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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.