ReviewInternational journal of pharmaceutics: X2026
A decade of innovation in healthcare: Automation, bio-printing and digital twin technologies for personalized therapies.
Review in International journal of pharmaceutics: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced therapy medicinal products (ATMPs) face a distinct manufacturing challenge: delivering patient-specific therapies with reproducible quality, acceptable cost, and GMP-compliant manufacturing control. This narrative review examines how, over the past decade, the manufacturing of these therapies has moved from operator-dependent, open workflows toward more automated, closed or functionally closed, and increasingly data-supported process architectures. Three converging technology streams are discussed: (i) closed and semi-closed automated platforms for GMP-compliant cell manufacturing, (ii) advanced bioprinting and 3D manufacturing systems for tissue-engineered products, and (iii) digital twin concepts and related data-driven strategies as emerging enabling layers for monitoring, traceability, and process support. Across these domains, the dominant engineering trend is a shift from standalone equipment toward integrated frameworks aimed at reducing operator dependence, improving reproducibility, and strengthening GMP readiness. Overall, the field is shifting from isolated tools to more coordinated, automation-oriented, and increasingly data-supported workflows.
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Registered trials
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.