by Sujatha Sagiraju | May 22, 2025 | Technology
As machine learning models increasingly assist in interpreting patient records, understanding how to properly evaluate these models becomes crucial for ensuring reliable clinical research outcomes. Jay Nanduri, Truveta CTO, provided an overview of Truveta language...
by Truveta staff | May 15, 2025 | Data
Cancer is one of the most heavily funded areas of medical research. And yet, with thousands of therapies in development and billions of dollars spent each year, many foundational questions persist: Why do patients stop treatment? How do outcomes vary across...
by Truveta staff | May 6, 2025 | Culture
This week we gathered with leaders across healthcare, public health, and life sciences at the 3rd annual Truveta Symposium. Truveta Symposium uniquely brings together leaders from life science, public health, and healthcare organizations to collaborate on health...
by Truveta staff | Feb 19, 2025 | Data
The need for better cardiovascular device insights Medical device companies are at the forefront of innovation, but a lack of real-world clinical data (RWD) hampers progress in studying cardiovascular device performance. Traditional data sources, such as claims and...
by Jay Nanduri | Dec 10, 2024 | Technology
In the final article in this series, I will share some thoughts on meeting the following challenge: How to rapidly support new AI scenarios and adjacencies through reuse and transfer learning? Truveta has diverse, multimodal, and up-to-date data on clinical...
