Digital Health Leader’s Innovation in Real-Time Sensor-Based AI Sets New Standards for Personalized Cardiometabolic Care
COLUMBIA, Md., March 19, 2025–(BUSINESS WIRE)–Welldoc®, a digital health leader revolutionizing cardiometabolic care, today announced the issuance of four new patents, marking its 54th patent grant. This milestone underscores Welldoc’s relentless commitment to innovation and leadership in leveraging artificial intelligence (AI) and advanced predictive capabilities based on real-time sensor data. The company’s digital health platform empowers individuals with personalized AI-driven digital coaching to enable self-management of cardiometabolic conditions, positive lifestyle changes and improved overall health and outcomes.
The new patents focus on Welldoc’s unique approach to combining dense, sensor-based data specifically collected from Continuous Glucose Monitors (CGM), with AI to predict future engagement levels, health metrics and improved outcomes. This includes the development of a “CGM-GPT” model using generative AI techniques to predict future glucose values.
“Securing 50+ patents is a testament to the hard work of our talented team in the U.S. and India and their dedication to driving AI innovation in digital health,” said Kevin McRaith, President and CEO of Welldoc. “We are proud to have built a strong foundation of intellectual property that enables us to deliver impactful cardiometabolic care solutions and drive continuous innovation in our product development. Protecting the underlying algorithms and functions that power the Welldoc platform is crucial to our ability to partner with healthcare industry leaders and create a more sophisticated, personalized experience for our users.”
Welldoc continues to expand its intellectual property portfolio, securing protections for a wide range of AI-driven and CGM-focused innovations. These include machine learning algorithms based on aggregated, complex health data—such as medications, symptoms and device data—and generative AI algorithms for curated content delivery along with first-in-class advanced capabilities in quantitative prediction, including weight and glucose levels.
“It is well-known that generative, transformer-based AI models—most commonly known as large language models—may not work well for complex mathematical applications. They were designed to predict a series of words rather than numerical values,” said Anand Iyer, PhD, MBA, Chief AI Officer of Welldoc. “We are creating our own specialized large sensor models, designed to tackle complex mathematical tasks, such as predicting future glucose levels, ultimately focused on advanced improvement to personalized health.”
