Abstract: A method includes the step of receiving electrocardiogram (ECG) data associated with a plurality of patients and an electrocardiogram configuration including a plurality of leads and a time interval. The electrocardiogram data includes, for each lead included in the plurality of leads, voltage data associated with at least a portion of the time interval. The method also includes training an artificial intelligence model on the ECG data, tuning the artificial intelligence model using data from a device having fewer leads than the plurality of leads, and evaluating the artificial intelligence model on additional data received from the ECG data.

Abstract: Embodiments of the present disclosure relate generally to the analysis and identification of global metabolic changes in Alzheimer's disease (AD). More particularly, the present disclosure provides materials and methods relating to the use of metabolomics as a biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance. Defining metabolic changes during AD disease trajectory and their relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery.

Abstract: A cutter for use with a mower such as a front of a tractor or skid steer has at least one cutting blade disposed below a cutting deck. A first arm assembly connects at a pivot to the deck and preferably connects to an extension extending forwardly relative to a mounting plate connected to the mower. The pivot is preferably spaced by a portion of the arm assembly from a length of the mounting plate. A roller assembly may be utilized to support the cutting blades above a surface to be cut. A second arm assembly may selectively position the cutting deck at preselected angles about the pivot. The first arm assembly may have curved ribs to allow the cutting deck to be declined to a negative angle relative to the pivot.