Navigating Claims and Evidence: Assessing the Truthfulness of Fluoride Toxicity Discussions and Research Validity
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By
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Andrea Buettner
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Patrick Diel
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Gerhard Eisenbrand
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Bernd Epe
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Petra Först
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Tilman Grune
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Sabine Guth
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Dirk Haller
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Volker Heinz
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Michael Hellwig
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Hans-Ulrich Humpf
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Henry Jäger
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Sabine E. Kulling
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Alfonso Lampen
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Marcel Leist
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Angela Mally
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Doris Marko
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Ute Nöthlings
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Elke Röhrdanz
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Angelika Roth
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Joachim Spranger
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Stefan Vieths
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Wim Wätjen
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Jan G. Hengstler
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September 1, 2026
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
