Question: Can you recommend a platform that provides real-time disease surveillance and forecasting for the life sciences industry?

If you're looking for a platform to supply real-time disease surveillance and forecasting for the life sciences industry, Airfinity could be a good choice. The platform uses advanced analytics to track and forecast population-level disease outcomes. It includes global disease surveillance, covering more than 160 diseases, and predictive disease models to forecast future disease burden and market dynamics. This information can help life sciences stakeholders make better decisions about resource allocation and investment.

Another platform that could be useful is Veradigm, which offers data-driven, scalable solutions for life sciences. Although it's geared more toward real-world data and evidence, including epidemiology and market access, you could use it for real-time surveillance and forecasting. Veradigm's solutions offer actionable insights that can help inform healthcare decisions and improve patient outcomes.

If you want to tap into AI, Huma.AI offers a generative AI platform for life sciences. It can help you analyze and interpret machine learning outputs, which is useful for improving scientific exchange, understanding the competitive trial landscape, and automating post-market surveillance. The platform offers up-to-date and accurate results, which can be critical for timely and informed decision-making.

If you need a powerful data management tool, InterSystems offers data platforms for complex domains. Their healthcare products include InterSystems IRIS for Health, a scalable healthcare data management platform, and HealthShare, a healthcare interoperability and analytics platform. The products ensure data can be exchanged easily and insights generated in real time, which can be important for real-time disease surveillance and forecasting.