ReviewNPJ systems biology and applications2025
A multidisciplinary approach towards modeling of a virtual human lung.
Review in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- The Mind From Within: Visceral Roots of Human Cognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Understanding Aerosol-Mediated Disease Transmission.ACS central science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Integrating biological data with in silico modeling offers the transformative potential to develop virtual human models, or "digital twins." These models hold immense promise for deepening our understanding of diseases and uncovering new therapeutic strategies. This approach is especially valuable for diseases lacking reliable models. Here we review current modelling efforts in of human lung development, highlighting the role of interdisciplinary collaboration and key advances toward a digital lung twin.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.