by Truveta staff | Oct 14, 2025 | Technology
Extracting structured information from clinical notes—such as identifying medical conditions, medications, and their relationships—is a cornerstone of modern healthcare research. These information extraction tasks, known as named entity recognition (NER) and relation...
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 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...
by Jay Nanduri | Oct 28, 2024 | Technology
In the journey toward advancing healthcare research, trust in AI tools is essential. Truveta is committed to not only delivering powerful AI-driven data insights but also ensuring transparency, quality, and speed for researchers. A significant part of this commitment...
by Truveta staff | Sep 26, 2024 | Technology
Despite advances in guideline-directed medical therapy, heart failure (HF) readmission rates have worsened over the past decade. Optimizing acute inpatient decongestion is critical in mitigating HF morbidity and mortality, but few new treatment strategies have emerged...
by Truveta staff | Aug 30, 2024 | Technology
Continuing with my series on AI, today I want to discuss the following question: How to make healthcare data available for clinical and life science research while leveraging AI in a safe and compliant manner? There are four aspects to compliance in healthcare...
