Centering Equity in European Dementia Research: A Collaborative Perspective from the PANEUCARE Consortium
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By
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Maria Isabel Cardona
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Clarissa Giebel
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Anthony Scerri
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Anthea Innes
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Ninoslav Mimica
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Osman Kučuk
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T. Rune Nielsen
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Jūratė Macijauskienė
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Birute Bartkevičiūtė
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Carolien Smits
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Carmel Geoghegan
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Soraya Moradi-Bachiller
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Anne Marie Rokstad
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Iva Holmerova
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Elżbieta Trypka
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Ágnes Egervári
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Raluca Sfetcu
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Marija Taneska
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Péter Hegedűs
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Iryna Shevchenko
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Svetlana Iloski
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Thanos Chatzikostopoulos
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Jochen René Thyrian
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August 31, 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.”
