LEVERAGING CLOUD TECHNOLOGY FOR PERSONALIZED MULTIPLE SCLEROSIS CARE: A COMPREHENSIVE DATA MANAGEMENT AND VISUALIZATION APPROACH

Leveraging Cloud Technology for Personalized Multiple Sclerosis Care: A Comprehensive Data Management and Visualization Approach

This project develops a cloud-based solution for securely managing clinical data and patient-reported outcomes (PROMs) for multiple sclerosis (MS) patients.Utilizing REDCap for data collection, we incorporated clinical outcomes and PROMs from 300 MS patients over 18 months, supporting North Dakota a machine learning (ML) based clinical decision sup

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Antimicrobial Susceptibility in Respiratory Pathogens and Farm and Animal Variables in Weaned California Dairy Heifers: Logistic Regression and Bayesian Network Analyses

Weaned dairy heifers are a relatively understudied production group.Bovine respiratory disease (BRD) is the most common cause of antimicrobial drug (AMD) use, morbidity, and mortality in this production group.The study of antimicrobial resistance (AMR) is complicated because many variables that may affect AMR are related.This study generates hypoth

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