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TL;DR: A 2026 Nature Communications paper introduced EmulatRx, a multi-agent AI framework that used real-world clinical data to help design target-trial-emulation workflows for acute and chronic diseases, including Alzheimer disease and Parkinson disease examp…
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TL;DR: A 2026 medRxiv retrospective cohort study found that depression often followed bipolar manic or mixed episodes quickly, with 25% of manic episodes and 22% of mixed episodes transitioning to depression within 1 month. Key Findings First-month risk window…
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TL;DR: A 2026 study in Interactive Journal of Medical Research used structured hospital records plus natural language processing of clinical notes to profile major depressive disorder in Belgium, finding that 46% of 1,147 adults met a real-world treatment-resi…
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TL;DR: A 2026 medRxiv preprint found psychomotor retardation, meaning slowed movement, speech, and thinking during depression, was linked to higher later Parkinson’s diagnosis risk in 6,327 London mental-health records. Key Findings Psychomotor retardation was…
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TL;DR: A 2026 preprint in medRxiv trained machine-learning models on Danish electronic health records and found that an XGBoost model predicted clozapine initiation within 365 days with an AUROC of 0.81 in patients with schizophrenia or schizoaffective disorde…
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TL;DR: A 2026 study in The British Journal of Psychiatry found that serious mental illness labels shifted often in real-world psychiatric records: 64% of patients with schizophrenia, bipolar disorder, or severe major depression received multiple diagnoses over…
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TL;DR: A 2026 study in Nature Mental Health describes an AI system that scans routine electronic health records (EHRs) and combines early-life visits, prescriptions, and comorbidities into a risk flag for ADHD evaluation before formal diagnosis. Key Findings A…
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