NyquistAI August Newsletter: RAPS Convergence & AI Intel

Highlights from this month’s edition:

• NyquistAI Insights: Siemens and Orthopedic lead the way for approved devices in 2024
• RAPS Convergence: Come see us at RAPS next month at booth 1043!
• News from NyquistAI: Explore the transformative potential of AI in medical devices, the current landscape of AI adoption in life sciences, and an explanation of the "AI" in NyquistAI

Nyquist Insights

Jan-Jul 2024 insights from the NyquistAI data platform

To see more specific insights, and understand the full potential of our platform, schedule an introductory meeting with one of our product experts to learn more.

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Come See Us at Booth 1043!

Come see us at RAPS next month! We’ll be at booth 1043 and would love to connect with you. We’ll be there Monday through Friday and are available to meet before or after regular exhibit hours as well.

Schedule Meeting Here

If you’re attending, don’t miss Michelle presenting “AI with ROI: Actionable Use Cases of Leveraging AI in Regulatory Affairs” on Thursday, September 19, at 2:15 PM.

NEWS FROM NYQUISTAI

Innovation in Action:?The Next Wave of Global AI Medical Devices

In case you missed it last month, Deepak Sahu, Managing Director at Trinity Life Sciences, and NyquistAI's CEO Michelle Wu, released a blog exploring the transformative potential of AI in medical devices.

With over 414 companies having at least one approved AI device and more than 750 clinical trials underway globally, the future of medical care is being reshaped by AI and machine learning. As these technologies advance, they promise to significantly enhance patient care and revolutionize the healthcare industry.

Check out the blog by Deepak Sahu and Michelle Wu for an in-depth look at the current landscape and future potential of AI in medical devices. Read the full blog.

Embracing AI in Life Sciences: Are You Ready?

AI is transforming the life sciences industry, offering both opportunities and challenges. In one of our recent blog articles we discuss the need for a strategic approach to AI adoption, ensuring it aligns with business objectives and enhances human performance rather than replacing it.

KEY TAKEAWAYS

• AI Success Factors: Stay informed about the latest AI technologies, align initiatives with business goals, and ensure cross-functional collaboration.
• Challenges and Misuses: Over-reliance on general AI and poor data quality can lead to biased decision-making and unreliable outcomes.
• Strategic AI Adoption: Focus on improving efficiencies, cutting costs, and generating new product ideas while considering ethical, legal, and psychological implications.
• Collaborative Approach: Success with AI requires integrating it into workflows, ensuring data quality, and fostering collaboration between technologists and domain experts.

NYQUISTAI USE CASES

• Regulatory Affairs (RA) - Predicate Research: Streamline the research of predicate or similar devices from global databases, significantly reducing research time and uncovering insights that might have otherwise been missed.
• Clinical Affairs (CA) - Global Trial Insights: Efficiently evaluate and segment international clinical trials, gaining comprehensive coverage of markets like China and Japan, and easily summarize trials of interest.
• Competitive Intelligence: Leverage NyquistAI’s alert features to stay ahead of the competition by receiving timely notifications about new competitors, recalls, and significant adverse events.

AI in life sciences is more than just adopting new technology—it's about building a culture of collaboration, continuous learning, and strategic alignment to unlock AI's full potential.

Read full blog article HERE.

Understanding NyquistAI — Simplifying AI for Life Sciences

At NyquistAI, we often encounter confusion about what we do, especially when it comes to AI. The term 'AI' can cause hesitation, and rightly so, given the vast amount of information and confusion surrounding it. To help clarify, we wrote a blog post (see full post here) that provides an overview of our products and what we’re building at NyquistAI.

The Nyquist AI Layers

Our products are built from one of three AI layers as seen in the image below.

1. Data Layer: For years we've been aggregating and structuring data from global clinical trial registries, regulatory documents, safety databases, manufacturing filings, and more. This data layer forms the foundation of our research and intelligence platform, making previously unsearchable information searchable.

Products: Global MedTech Data Platform and the Global Pharma Data Platform

2. Application Layer: With the data layer in place, we developed our proprietary AI, independent of other AI systems. This AI is finely tuned using our data, creating tools specifically designed for life sciences.

Products: GuidanceIQ and Nyquist Scholar

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3. Custom Solutions Layer: This layer comprises bespoke solutions tailored to specific client needs. These solutions integrate our AI with an organization’s institutional knowledge and provide exclusive, secure outputs.

Example Products: Clinical Trial Site Selection and Automated Guidance Change Monitoring tools

Have questions or want to see our solutions in action? Reach out to us! We can share relevant use cases, brainstorm AI integration, and more. Contact us or schedule a meeting today!

We value input from our clients and the life sciences community to build essential products. Our goal is to help the industry find answers faster and bring solutions to market more quickly.

We’re here to make your research easier. Discover the benefits of our data intelligence platform today!

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