ArticleScientific reports2025
Major pathophysiological changes in pulmonary disease provided a molecular insight based on deep learning approach.
Article in Scientific reports, 2025. 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 outburst of pulmonary disorders among the society has shown the devastating effect of undergoing a delay in diagnosis and treatment. Sometimes the traditional methods in detecting and treating the airway disease fail to cure efficiently due to a lack of pathophysiological descriptions along with the molecular expression. The studies published so far are missing the collective information of the pathways and the role of signature molecules during the disease that constricts the use of therapeutics like nitric oxide(NO) and hydrogen sulfide(H
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