Evidence map›Paper›PMID 30978644›Full record

ReviewCurrent opinion in biotechnology2019

Dynamical systems approaches to personalized medicine.

Jacob D Davis, Carla M Kumbale, Qiang Zhang, Eberhard O Voit

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Matters of life and death in computational cell biology.NPJ systems biology and applications · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Basal State Calibration of a Chemical Reaction Network Model for Autophagy.International journal of molecular sciences · 2024
    Article
  6. Article
  7. Frontiers in neuroscience · 2023
    Article
  8. Review
  9. The Person's Care Requires a Sex and Gender Approach.Journal of clinical medicine · 2021
    Review
  10. Article
  11. Toward Personalized Medicine for HIV/AIDS.Journal of AIDS and HIV treatment · 2021
    Article
  12. Article
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.

Jacob D DavisDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, 950 Atlantic Drive, Atlanta, GA 30332, United States.
Carla M KumbaleDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, 950 Atlantic Drive, Atlanta, GA 30332, United States; Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, NE, Atlanta, GA 30322, United States.
Qiang ZhangDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, NE, Atlanta, GA 30322, United States. Electronic address: qiang.zhang@emory.edu.
Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, 950 Atlantic Drive, Atlanta, GA 30332, United States. Electronic address: eberhard.voit@bme.gatech.edu.

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Jamie J Bernard · 1989 to 2026
$64.9M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS P42 ES004911
6 · The paper itself

Abstract

The complexity of the human body is a major roadblock to diagnosis and treatment of disease. Individuals may be diagnosed with the same disease but exhibit different biomarker profiles or physiological changes and, importantly, they may respond differently to the same risk factors and the same treatment. There is no doubt that computational methods of data analysis and interpretation must be developed for medicine to evolve from the traditional population-based approaches to personalized treatment strategies. We discuss how computational systems biology is contributing to this current evolution.

Indexed as

Precision MedicineSystems BiologyBiomarkersHumansBiomarkers

Identifiers

PMID30978644
PMCPMC7050596

What OpenQuestion holds

Textmetadata
LicenceTDM
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.