Screen, Sample, Stratify: Biomarkers and Machine Learning Compress Dementia Pathways

2026/01/12 by Simone Battaglia, Masaru Tanaka · 1 voice
Medicine · Computer Science · #Dementia and Cognitive Impairment Research #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education

paper · pdf · doi:10.3390/biomedicines14010159

openalex publication_date 2026/01/12 · openalex created_date 2026/01/14 · openalex updated_date 2026/07/22

Abstract

Late-life cognitive complaints seldom align with a single disease entity [...].

Citations

• A new science of mental disorders: Using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology
• From Microbial Switches to Metabolic Sensors: Rewiring the Gut–Brain Kynurenine Circuit
• Dualistic Dynamics in Neuropsychiatry: From Monoaminergic Modulators to Multiscale Biomarker Maps
• Neuroinflammation and Natural Antidepressants: Balancing Fire with Flora
• From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
• Plasma neurofilament light chain as a biomarker of Alzheimer’s disease in Subjective Cognitive Decline and Mild Cognitive Impairment

Discussions

• Not one dementia—many pathways 🧩🧠 ML compresses complexity using plasma + cognition for real-world triage 🩺⚙️ @mdpiopenaccess.bsky.social #Neuroscience #ArtificialIntelligence #Biomarkers #Dementia [bsky, 3 points, 1 comments]

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