ADAMTS4-Specific MR Peptide Probe for the Assessment of Atherosclerotic Plaque Burden in a Mouse Model.

Introduction: Atherosclerosis is the underlying cause of multiple cardiovascular pathologies. The present-day clinical imaging modalities do not offer sufficient information on plaque composition or rupture risk. A disintegrin and metalloproteinase with thrombospondin motifs 4 (ADAMTS4) is a strongly upregulated proteoglycan-cleaving enzyme that is specific to cardiovascular diseases, inter alia, atherosclerosis.

Alzheimer Disease Plasma Biomarkers in the Mid-Western Amish.

Introduction: Alzheimer disease (AD) plasma biomarkers are noninvasive measures of the key amyloid beta (Aβ) and tau pathologies. Validation and generalization studies are needed to fully understand their potential for AD prediction and diagnosis in the elderly population.

Methods: In 1,067 Amish individuals aged ≥ 65, we measured plasma Aβ and tau to assess their relationships with AD-related outcomes.

Olanzapine versus quetiapine in critically ill patients with hyperactive delirium: Protocol for a multicentre, cluster-randomised, double-crossover, pragmatic clinical trial (CALM-ICU).

Background: Patients in the intensive care unit (ICU) frequently develop hyperactive delirium, which may be accompanied by behaviour that increases clinical risks to themselves as well as other patients and staff. There is a paucity of evidence to inform the urgent enteral administration of antipsychotic drugs to treat such hyperactive delirium and behavioural disturbances.

Objective: The aim of this study is to test the efficacy and safety of administering enteral olanzapine when compared to quetiapine in critically ill patients with hyperactive delirium.

Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks.

Rationale And Objectives: Training Convolutional Neural Networks (CNN) requires large datasets with labeled data, which can be very labor-intensive to prepare. Radiology reports contain a lot of potentially useful information for such tasks. However, they are often unstructured and cannot be directly used for training.