Evidence map›Paper›PMID 42621923›Full record

ArticleInternational journal of pharmaceutics: X2026

Performance of a modular robotic cluster matches skilled human operators for complex cell therapy manufacturing tasks.

Sudeshna Sadhu, Brigitte Schmittlein, Angela Lares, Christopher Cheng, Xiaojie Chen, Varun Bhatia, Winston Zha, Sebastien Wah, Sunaina Nayak, Marco Uboldi and 16 more

Abstract read
In one paragraph

Article 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Sudeshna SadhuMultiply Labs, San Francisco, CA, USA.
Brigitte SchmittleinMultiply Labs, San Francisco, CA, USA.
Angela LaresMultiply Labs, San Francisco, CA, USA.
Christopher ChengMultiply Labs, San Francisco, CA, USA.
Xiaojie ChenMultiply Labs, San Francisco, CA, USA.
Varun BhatiaMultiply Labs, San Francisco, CA, USA.
Winston ZhaMultiply Labs, San Francisco, CA, USA.
Sebastien WahMultiply Labs, San Francisco, CA, USA.
Sunaina NayakMultiply Labs, San Francisco, CA, USA.
Marco UboldiSezione di Tecnologia e Legislazione Farmaceutiche "M. E. Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, IT.
Yifan YuGenScript Biotech Corporation, Piscataway, NJ, USA.
Jiawei WangGenScript Biotech Corporation, Piscataway, NJ, USA.
Wei ZhangGenScript Biotech Corporation, Piscataway, NJ, USA.
Prajakta P BhanapThermo Fisher Scientific, Carlsbad, CA, USA.
Yongchang JiThermo Fisher Scientific, Carlsbad, CA, USA.
Andrew SchefflerScaleReady, New Brighton, MN, USA.
John WilsonWilson Wolf Manufacturing Corporation, New Brighton, MN, USA.
Dan WelchWilson Wolf Manufacturing Corporation, New Brighton, MN, USA.
Nikolaos Gkitsas-LongCenter for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Aidan Jeffrey RetherfordCenter for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Ramya TunuguntlaCenter for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Alice MelocchiSezione di Tecnologia e Legislazione Farmaceutiche "M. E. Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, IT.
Alexandre GirardDépartement de génie mécanique, Faculté de génie, Université de Sherbrooke, Sherbrooke, CA.
Federico PariettiMultiply Labs, San Francisco, CA, USA.
Steven A FeldmanCenter for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Jonathan H EsenstenThe Advanced Biotherapy Center (ABC), Sheba Medical Center, Tel Hashomer, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although numerous cell and gene therapies have received regulatory approval, their adoption has been hampered by high cost and challenges in scaling out manufacturing. Many autologous cell therapies are individually manufactured for each patient using traditional manual methods in high-cost environments. Therefore, robotics and automation offer a potential solution to meet the growing demand for such therapies. To ensure identical biological outcomes, automation must replicate validated manual workflows, a requirement that poses significant engineering challenges, especially for aseptic manipulation and compatibility with manual-centric instruments and consumables. Here we describe the design and performance of a modular robotic cluster consisting of specialized modules containing widely adopted equipment. The robotic arm uses custom end-effectors to handle standard consumables and instruments such as syringes, vials, bags, cell counters, bioreactors, incubators, and closed centrifuges. We compared the performance of skilled human operators against the robotic cluster across multiple tasks: transferring cells between sterile bags, cell counting, drawing volume from a vial to a syringe, and resuspension and sampling from both a bag and G-Rex 100 M-CS bioreactor. The robotic system also executed high-complexity operations with industry-standard instruments: cell isolation using a CytoSinct 1000 and wash/buffer exchange with a CTS Rotea Counterflow centrifugation system. Experimental results for each unit operation show that the robotic cluster performance is equivalent to manual operations on the selected key metrics. These data demonstrate that the robotic system can efficiently and robustly perform specific unit operations, which may provide a foundation for future integrated end-to-end cell therapy manufacturing processes.

Indexed as

Cell countingCell isolationHarvestResuspensionRobotic clusterSamplingT cells

Identifiers

PMID42621923
PMCPMC13487720

What Socratic holds

Textmetadata
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.