Showing 56-60 of 92 predictive & prescriptive analytics:
Advancing Personalized Medicine for Health Plans: How AI and RWE can improve outcomes, reduce costs, and improve member engageme

Tue, Oct 18, 2022 11:00 AM – 12:00 PM EDT Presenter: Joseph Zabinski, Senior Director, AI & Precision Medicine, OM1 Register >> As population health moves towards personalized, precision medicine, optimizing treatment options and reducing ineffective care will be critical to plans’ success and differentiation in highly competitive environments. Real-world evidence drawn from deep datasets[…]

Using Real-World Data for Patients with Multiple Sclerosis: A New Machine Learning Model for the Expanded Disability Status Scale (EDSS)

HealthEconomics.com – A Scientist.com Company Publish Date: August 26th, 2022   Multiple sclerosis (MS) is a chronic illness in which the body’s immune system attacks myelin, the substance that surrounds and protects the nerve fibers of the central nervous system. The result is a disabling disease that causes damage to the brain and spinal cord[…]

AI Applications for Clinical Development: From Identifying Patients to Amplifying Trial Endpoints

Inside Precision Medicine Published Online: August 18, 2022 Read the Full Article >> Artificial intelligence (AI) has promised major breakthroughs in clinical development success. While the hype has sometimes seemed overblown, AI is starting to deliver on those promises through real-world impact. AI is not a silver bullet for all challenges, but in specific applications,[…]

Using Real-World Data to Unlock Better Outcomes in IBD & NASH Patients

Gastrointestinal and metabolic disorders are highly prevalent and result in reduced quality of life for many patients. Treatments are aimed at reducing symptoms and preventing complications and progression. More research is needed to better understand natural history and progression, treatment effectiveness, and outcomes. Register here Linked real-world data (RWD) and machine learning (ML) applications provide[…]

Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis

Sage Journals Published June 22, 2022 Read the Full Manuscript>>  Abstract Background Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. Objective To validate a machine learning model to estimate EDSS scores[…]

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