Mathematical Modeling in Systems Biology.

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

5 citing papers in PubMed.

1. Emergence of Sprouty role from the signaling interplay of DUSP1 and DUSP4 interactions in NSCLC pathogenesis.NPJ systems biology and applications · 2026
   Article
2. Machine learning-driven optimization of culture conditions and media components to mitigate charge heterogeneity in monoclonal antibody production: current advances and future perspectives.mAbs · 2025
   Review
3. Computational Cellular Mathematical Model Aids Understanding the cGAS-STING in NSCLC Pathogenicity.Bio-protocol · 2025
   Article
4. Correlations and Variations Between the Major Biochemical Parameters of the Blood of Hybrid Swine.Animals : an open access journal from MDPI · 2024
   Article
5. Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches.Biotechnology advances
   Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract