ArticleBioinformation2026
Life - A glimpse into the phenomenon.
Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advancement to knowledge is the possibility to simulate the living system in in silico technique. Therefore, it is of interest to seek an unambiguous interpretation of life as a phenomenon. To overcome the challenges posed by the complexity of biological information, the scope of this study is narrowed down to the cellular level with cells are categorized into two groups: dividing cells - species life, associated with reproduction and non-dividing cells - individual life. This analysis focuses exclusively on individual life, using the erythrocyte as a model for non-dividing cells where the autonomy as a process dedicated to maintaining the stability of the cell's internal environment is treated as the basis. This capacity to sustain internal conditions is recognized as the primary manifestation of life using an automatic response mechanism to environmental changes, governed by negative feedback loops. Furthermore, self-organization, independent recognition of errors and their remediation are identified as key components of autonomous cellular action, the simulation of which is possible using the incorporated simulation tools to model these selected biological processes.
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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.