Alzheimer’s Disease (AD) drug discovery has been hampered by patient heterogeneity, and the lack of sensitive tools for precise stratification. Here, we demonstrate that our robust and interpretable AI-guided tool (predictive prognostic model, PPM) enhances precision in patient stratification, improving outcomes and decreasing sample size for a AD clinical trial. The AMARANTH trial of lanabecestat,… Continue reading #AI -guided patient stratification improves outcomes and efficiency in the AMARANTH #Alzheimer’s Disease clinical trial
Tag: drugs
Use of common #cardiovascular disease drugs and risk of #dementia: A case–control study in Swedish national register data
Cardiovascular drug use may help prevent dementia; however, current evidence is mixed. Using a case–control design, we investigated the association between duration and combination of multiple cardiovascular drug classes and incident dementia.METHODSFrom the Swedish national registers, we included 88,065 incident dementia cases aged ≥ 70 at diagnosis between 2011 and 2016 and 880,650 age- and… Continue reading Use of common #cardiovascular disease drugs and risk of #dementia: A case–control study in Swedish national register data
Most #GLP-1 Medications Correlated with a Lower Likelihood of #Anxiety and #Depression Diagnoses
Key FindingsDiabetic patients prescribed tirzepatide, semaglutide, dulaglutide, and exenatide are less likely to be diagnosed with depression after starting the medication compared to those not on a glucagon-like peptide-1 receptor agonist (GLP-1) medication. The likelihood of anxiety in diabetic patients is lower for those on all five GLP-1 medications studied. Among non-diabetic patients, semaglutide is correlated with… Continue reading Most #GLP-1 Medications Correlated with a Lower Likelihood of #Anxiety and #Depression Diagnoses
Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study
is unclear how medication use evolved before diagnosis of dementia (DoD). This study aims to identify varied patterns of polypharmacy before DoD, their prevalence and possible complications. We collected primary care e-health records for 33,451 dementia patients in Wales from 1990 to 2015. The medication uses in every 5-year period along with 20-years prior to… Continue reading Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study
Mortality among persons who inject #drugs: A prospective cohort followed over three decades in Baltimore, Maryland, USA
Over the past decades, people who inject drugs (PWID) have been impacted by the development of combination antiretroviral therapy (cART) to combat HIV/AIDS, the prescription opioid crisis, and increased use of lethal synthetic opioids. We measured how these dynamics have impacted mortality among PWID in an urban U.S. city. DesignProspective cohort study using data from… Continue reading Mortality among persons who inject #drugs: A prospective cohort followed over three decades in Baltimore, Maryland, USA
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