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"Predicting Response and Personalizing Treatment Decisions in Mental Health: New Opportunities with AI and Real-World Data"

Register for this Live Webinar.

Mental health conditions can take a significant toll on an individual—physically, socially, and financially. Despite new treatment options becoming available, many patients still continue to struggle with finding effective solutions. Frustratingly, even treatments with strong efficacy won’t work for everyone - and it’s very hard to know in advance who will or won’t respond.

It is more important than ever to be able to precisely identify patients with and at risk for treatment resistance to break this cycle, broadening access to advanced therapies, and improving outcomes. Join us for this timely and insightful webinar to explore the latest strategies that leverage AI technology and Real-World Data (RWD) to enhance research and transform the mental health care landscape.

We’ll discuss:

• A deep dive into Treatment-Resistant Depression, going beyond the traditional criterion of two antidepressant trials of adequate dose and duration
• The 'gold standard' for capturing treatment resistance based on psychiatrists’ clinical assessments captured in electronic health records
• How to use AI to identify and locate patients with treatment resistance in real-world data sources
• Connecting patterns in data to patients at risk, and the physicians who can help them
• Additional AI use cases for addressing other challenges in mental health care
• And more

Don’t miss this informative session on how AI and real-world data are contributing to a deeper understanding of mental health conditions and advancing the development of more effective, personalized interventions.

Register today!

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