Showing 51-55 of 92 predictive & prescriptive analytics:
Using AI to Accelerate Diagnosis and Treatment

In this episode of the Medical Affairs Professional Society (MAPS) podcast ELEVATE, Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1 discusses how Artificial Intelligence can accelerate diagnosis and treatment. Listen to the Full Episode >>

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

Published: June 22, 2022 Sage Journals Read the Full Article >> 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[…]

Validation of a machine learning approach to estimate Clinical Disease Activity Index Scores for rheumatoid arthritis

Published: October 29, 2021 Read the Full Article >> Objective: Disease activity measures, such as the Clinical Disease Activity Index (CDAI), are important tools for informing treatment decisions and monitoring patient outcomes in rheumatoid arthritis (RA). Yet, documentation of CDAI scores in electronic medical records and other real-world data sources is inconsistent, making it challenging[…]

Personalizing Medicine: AI and RWE in the Medtech Context

AdvaMed Publish Date: November 3, 2022 Read the Full Article>> Challenges of AI in MedTech In the medical device space, powerful insights from real-world data can seem ‘just out of reach’. Capturing patient characteristics and outcomes, at scale and with consistency over time, is challenging outside of clinical trials. Personalization – bridging the gap between[…]

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