Evidence map›Paper›PMID 40809471›Full record

ReviewFrontiers in systems biology2023

What's next for computational systems biology?

Eberhard O Voit, Ashti M Shah, Daniel Olivença, Yoram Vodovotz

Abstract readReview
In one paragraph

Review in Frontiers in systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Origin of the clock inFrontiers in molecular biosciences · 2025
    Review
  7. Article
  8. Making PBPK models more reproducible in practice.Briefings in bioinformatics · 2024
    Article
  9. Article
  10. Review
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

4 authors.

Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Ashti M ShahCenter for Inflammation and Regeneration Modeling, University of Pittsburgh, Pittsburgh, PA, United States.
Daniel OlivençaCenter for Engineering Innovation, The University of Texas at Dallas, Richardson, TX, United States.
Yoram VodovotzCenter for Inflammation and Regeneration Modeling, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Largely unknown just a few decades ago, computational systems biology is now a central methodology for biological and medical research. This amazing ascent raises the question of what the community should do next. The article outlines our personal vision for the future of computational systems biology, suggesting the need to address both mindsets and methodologies. We present this vision by focusing on current and anticipated research goals, the development of strong computational tools, likely prominent applications, education of the next-generation of scientists, and outreach to the public. In our opinion, two classes of broad research goals have emerged in recent years and will guide future efforts. The first goal targets computational models of increasing size and complexity, aimed at solving emerging health-related challenges, such as realistic whole-cell and organ models, disease simulators and digital twins,

Indexed as

data pipelinedesign principledigital twinsdisease simulatoreducationmachine learningsystems medicine

Identifiers

PMID40809471
PMCPMC12342038

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.