Tech Talk Webinar Series with RTI International

Public health officials at the federal and state levels have called for a better way to measure, predict, and adjust for social factors in health care and population health.

See how RTI Rarity takes an “artificially intelligent” approach to risk adjustment for local social determinants of health by using Local Social Inequity (LSI) scores.

The use of wearable devices for a deeper understanding of a person’s overall health and performance capabilities continues to grow, giving us more data for analysis and better informed decision-making.

Learn more about the DoD SIGMA+ Health platform and how personal sensor technology aids in early illness detection, ensuring optimal physical and mental health.

Scientists conducting a big data study typically spend 50%–65% of their time finding, gathering, harmonizing, and cleaning data—all before any analysis can be done.

See how RTI's machine learning application suite, MetaMatchMaker, can save time and reduce costs related to finding and integrating genomic, molecular, and clinical data for analysis.

Social media platforms generate vast amounts of rich data that reflect the behaviors and perceptions of consumers, organizations, and industries.

Learn how social media data can be leveraged to improve public health policy, surveillance, and response.

Successful data-driven projects require a focus on both data modernization and data equity.

Learn how these two concepts intersect and how they can be applied to improve decision-making, accelerate implementation, and optimize research outcomes that are inclusive of populations often underrepresented in data sources.

Racial and ethnic minorities and other hard-to-reach populations have been historically underrepresented in experimental program evaluations. For programs to be culturally sensitive and responsive, innovations in evaluation design are required.

Learn about recent innovations in experimental case designs that are advancing science and health equity simultaneously.

Studying multifactorial, complex human diseases requires a variety of approaches and data types. What if there was a way to combine data across programs to produce more accurate and impactful insights to transform research and, ultimately, treatment? 

Learn how disease specific data portals can help you share research data, support data re-use, replicate key findings, and enhance the biological interpretation of results.

In a short period of time, generative AI tools—such as ChatGPT—have garnered tremendous interest among the media and the general public. As these tools continue to grow in popularity, we must critically examine how they work and if they can impact current health communication research workflows. 

Learn about the potential benefits, opportunities, and use cases of generative AI tools for getting insights faster.

Data is the foundation for everything that federal, state, and local government agencies do, making it more important than ever to ensure that it is accessible and interactive. How can digital solutions—such as dashboards, maps, reports, and tools—quickly transform your complex data into actionable insights?

Learn how leveraging fit-for-purpose solutions that prioritize intuitive interfaces and real-time, customizable, and interactive data visualizations can make your data more actionable.