Site-level factors affecting nursing home implementation of a personalized music intervention: Qualitative analyses from Music & Memory: A Pragmatic Trial for Nursing Home Residents with Alzheimer's Disease (METRIcAL).

Background: Non-pharmacological interventions (NPIs) are preferred alternatives to using antipsychotic medications to manage disruptive behaviors in nursing home (NH) residents living with dementia. However, the implementation of these interventions is often complex in the NH environment. In this qualitative analysis of data from an embedded pragmatic clinical trial (ePCT) of a personalized music intervention, we describe NH-level implementation barriers and facilitators.

Machine learning enhances genotoxicity assessment using MultiFlow® DNA damage assay.

Genotoxicity is a critical determinant for assessing the safety of pharmaceutical drugs, their metabolites, and impurities. Among genotoxicity tests, mechanistic assays such as the MultiFlow® DNA damage assay (MFA) allows the investigations on mode of action (MoA) of DNA damage through four mechanistic markers recorded at two time points. Previous studies have shown that machine learning (ML) can enhance precision on classifying the MoA of genotoxicants.

Multi-Disciplinary Investigation Identifies Increased Potency of Ethyl-Parathion Inhaled Within a Soil-Dust Matrix to Cause Acetylcholinesterase-Dependent Molecular Impacts.

Neurotoxicity investigations of inhaled organophosphorus pesticide (OP), ethyl-parathion (EP), were conducted in Sprague Dawley rats comparing exposures to EP volatilized at 0, 1, 10, and 20mg/m versus EP incorporated into soil dust (5mg/m) at 0, 0.0095, 0.09, and 0.