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Podcast Q&A: Advancing Patient Care through Real-World Data, Machine Learning, and Systems Biology

This podcast segment from Syapse’s September 21, 2022 webinar features the Q&A with Nitin Baliga, Insitute of Systems Biology, and Thomas Brown, Syapse as they answer questions on utilizing real-world data, machine learning, and systems biology for benefiting therapeutic development.… Continue Reading

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

  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… Continue Reading

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Predictive Modeling and Machine Learning: Sharpening the Focus of Real-World Evidence in the Age of Precision Medicine

The challenge of real-world evidence in the age of precision medicine Real-world evidence is being used increasingly to provide important information about natural history of a disease, drug utilization and treatment patterns, comorbidities, safety and effectiveness of medications, along with… Continue Reading

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Artificial Intelligence for Real-World Evidence

Costas Boussios, VP of Data Science, OM1 Richard Gliklich, CEO, OM1 As artificial intelligence (AI) and Big Data are lauded for their potential uses in life sciences and healthcare, it is becoming difficult to differentiate between the myriad of terms… Continue Reading