Evidence map›Paper›PMID 40226587›Full record

ReviewBiologics : targets & therapy2025

Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies.

Ranjit Ranbhor

Abstract readReview
In one paragraph

Review in Biologics : targets & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Aptamer targeting proprotein convertase subtilisin/kexin type 9:Research in pharmaceutical sciences · 2026
    Article
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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

1 author.

Ranjit RanbhorPergament & Cepeda LLC, Florham Park, NJ, 07932, USA.ORCID 0000-0001-5445-4073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This review examines recent advances in monoclonal antibody (mAb) manufacturing, focusing on process optimization, cost reduction strategies, and emerging technologies. The analysis addresses critical challenges in current manufacturing processes while evaluating innovative solutions to improve production efficiency and economic viability. Methods: We conducted a comprehensive analysis of recent literature on mAb manufacturing, examining traditional batch processing, continuous processing, and hybrid systems. The review evaluates cost optimization strategies, including media development and process integration, while assessing the impact of emerging technologies, such as machine learning and advanced analytics, on manufacturing efficiency. Results: Recent studies demonstrate that continuous processing can achieve up to 35% cost savings compared to traditional batch processing to meet an annual production demand of 100-500 kg, though this gain diminishes at larger scales. Hybrid facilities show accelerated break-even points, reaching profitability 2-2.5 years earlier than traditional facilities. Advanced media optimization strategies, incorporating novel tripeptide delivery methods, have demonstrated up to 35% improvement in mAb titers. Integration of machine learning and advanced analytics has significantly enhanced process control and optimization capabilities. Conclusion: The evolution of mAb manufacturing technologies offers promising pathways for improving production efficiency and reducing costs. Scale-dependent considerations remain crucial in selecting optimal manufacturing strategies, while emerging technologies present new opportunities for process optimization. Future developments in continuous processing, advanced analytics, and cell line engineering will be essential in meeting growing global demand while ensuring economic viability and accessibility of mAb therapeutics.

Indexed as

advanced analyticsbiomanufacturingbiosimilarcontinuous processingcost reductionmachine learningprocess optimization

Identifiers

PMID40226587
PMCPMC11994081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.