ReviewTheory in biosciences = Theorie in den Biowissenschaften2026
The challenge of distinguishing living from non-living entities.
Review in Theory in biosciences = Theorie in den Biowissenschaften, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Abstract
The complexity and diversity inherent in living organisms have long been regarded as significant challenges to the formulation of a universally accepted definition of life. Life is manifested across diverse forms, characterized by properties such as growth, reproduction, responsiveness, adaptation, and homeostasis. However, these traits are not exclusively confined to living systems; they have also been observed, to varying extents, in certain non-living entities. As a result, the conceptual boundary between the living and the non-living has been rendered increasingly ambiguous. In this study, the transformation of non-living matter into living systems is investigated, and it is demonstrated that this process lacks a precise temporal threshold that clearly marks the emergence of life. Through mathematical analysis, it is shown that no comprehensive definition of life captures a distinct separation within the chemical continuum that leads from inanimate to animate matter. The absence of uniquely defining features that unequivocally distinguish living organisms from non-living entities is thereby revealed. This analysis challenges traditional assumptions regarding the definability of life, emphasizing the need for a revised conceptual framework that accounts for the continuum between non-living and living systems.
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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.