Webinar

AI-Enabled Risk Monitoring in Clinical Trials

Oct 16, 2024
11 AM EST

Join us for an insightful webinar on “AI-Enabled Risk Monitoring in Clinical Trials,” where we delve into the challenges faced by clinical trial professionals in managing risk in an increasingly complex data landscape. Traditional risk monitoring methods often struggle to keep pace with the rapid influx of data, leading to missed signals and delayed responses that can jeopardize trial outcomes. Discover how artificial intelligence is transforming risk management by offering more precise, timely, and predictive insights, empowering you to stay ahead of potential issues and optimize your trial strategies with cutting-edge AI technologies

What You Will Learn:

The Critical Role of Risk Monitoring: Understand why effective risk monitoring is essential in clinical trials and how traditional methods fall short in today’s data-rich environment.
Challenges of Conventional Techniques: Explore the limitations of traditional risk monitoring methods and the need for more advanced solutions.
AI-Driven Solutions for Advanced Risk Detection and Prediction: Discover how AI algorithms and models enhance the accuracy and timeliness of risk identification. Learn how predictive analytics can help anticipate potential issues and mitigate them before they impact trial outcomes.
Real-Time Monitoring and Response Capabilities: See how continuous data surveillance powered by AI enables real-time alerts and actionable insights, allowing for swift responses to emerging risks.
Q&A Session: Engage with the audience to address specific queries and concerns. This interactive segment allows participants to gain deeper insights and clarify doubts directly from our experts.

Key Takeaways:

Enhanced Risk Detection: Learn how AI enhances the accuracy and speed of risk identification, surpassing the capabilities of manual methods.
Proactive Risk Management with Predictive Analytics: Understand how machine learning models can forecast risks and enable proactive management to ensure smoother clinical trial operations.
Continuous Real-Time Monitoring: Discover the benefits of continuous data analysis using AI to deliver immediate alerts and facilitate quick action to address emerging issues.
Improved Efficiency and Cost Reduction: Explore how AI-driven automation and insights can optimize risk monitoring processes, reduce trial costs, and improve overall efficiency.

Don’t miss this opportunity to learn from industry experts and gain valuable insights into how AI can revolutionize risk monitoring in clinical trials.

Speakers

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Jayasree Ivaturi

Associate Director, Data Analytics Solution

Jayasree has 15.6 years of experience in providing analytical solutions using business intelligence and analytical tools. Primarily focuses on understanding key analytical challenges in pharmaceutical environment and working closely with key stakeholders across clinical operations business. Expertized in building advanced analytical solutions that establish insights into data, providing signals, patterns, trends and works across different functions to break down barriers between silos while providing a data driven integrated & holistic view to end users.

Ani Margaryan

Product Marketing Lead

With more than ten years in high-impact marketing roles, Ani is at the forefront of MaxisIT's drive in the life sciences sector. Her expertise lies in intuitively grasping customer needs and skillfully converting these insights into practical solutions, ensuring the delivery of pertinent products. Ani's professional journey, which began in commercial banking, evolved through co-founding a thriving marketing agency, where she catered to global corporations like Johnson & Johnson and Coca-Cola. Now at the helm of MaxisIT's data analytics platform, Ani is committed to enhancing its efficiency in clinical trials. Her diverse background empowers her to not only maintain the platform’s esteemed reputation but also to expand its capabilities in delivering impactful trial outcomes. Her approach is customer-centric, always focusing on how MaxisIT can better serve and innovate within the life sciences sector.