ReviewFrontiers in allergy2026
Current challenges in allergic diseases and computational solutions towards personalized medicine.
Review in Frontiers in allergy, 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.
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.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Allergic diseases persist as a significant global health concern, profoundly diminishing the quality of life for millions of people across the globe. Allergic diseases exert a growing economic toll worldwide, with prevalence rates rising sharply - now affecting between 10% and 30% of the global population. This upward trend underscores the urgent need for more effective prevention, diagnosis, and management strategies. Rapid urbanization and shifting environmental conditions - particularly those driven by global warming - are increasingly recognized as key contributors to the rising prevalence of allergic diseases worldwide. We examine the current challenges in addressing these complex disorders, from diagnostic limitations to the heterogeneity of clinical presentations. We explore the role of statistical computational tools in predicting allergenicity, offering new avenues for precision medicine in this evolving field.
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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.