Methods to crosswalk between cognitive test scores using data from the Alzheimer's Disease Neuroimaging Cohort.

Introduction: Studies use multiple different instruments to measure dementia-related outcomes, making head-to-head comparisons of interventions difficult.

Methods: To address this gap, we developed two methods to crosswalk estimated treatment effects on cognitive outcomes that are flexible, broadly applicable, and do not rely on strong distributional assumptions.

Results: We present two methods to crosswalk effect estimates using one measure to estimates using another measure, illustrated with global cognitive measures from the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Identifying Patterns of Tobacco Use and Associated Cardiovascular Disease Risk Through Machine Learning Analysis of Urine Biomarkers.

Background: Tobacco use remains a leading cause of disability-adjusted life years lost in the United States. Cardiovascular harm varies by tobacco product type and usage patterns, yet reliable methods for assessing exposure and harm across different products, especially novel tobacco products, are limited.

Objectives: The authors aimed to identify distinct biomarker exposure patterns associated with different tobacco products using cluster analysis and validate this approach through longitudinal analysis of cardiovascular disease risk.

A democratized bimodal model of research for soft robotics: Integrating slow and fast science.

A shift toward a democratized, bimodal model of research would allow soft robotics to realize its full potential.

Aspirin Improves Uterine Artery Function in Hypercholesterolemic Preeclampsia.

Background: Excessive hypercholesterolemia in pregnancy increases the risk of preeclampsia, though the mechanisms remain unclear. We recently showed that uterine artery function is impaired in hypercholesterolemia-preeclampsia via activation of the TLR4 (toll-like receptor 4)/PGHS1 (prostaglandin H synthase 1) pathway. Low-dose aspirin lowers preeclampsia risk in high-risk pregnancies by inhibiting PGHS1, but its effects in hypercholesterolemia-preeclampsia pregnancies are not known.

Motor correlates of finger tapping variability in subjective memory complaints, mild cognitive impairment and probable Alzheimer's disease.

Background: Variability of finger tapping speeds, especially in the non-dominant hand, has been reported in individuals with amnestic mild cognitive impairment (MCI-A) and dementia of the Alzheimer's type (AD). An explanation of this finding, however, has not appeared.

Objective: The aim of this study was to investigate possible motor correlates of finger tapping variability in normal older healthy controls (HC), persons with subjective memory complaints (SMC), MCI-A and probable AD.