Tempus, a pioneering company in the field of artificial intelligence and precision medicine, has announced the integration of its innovative Tempus One technology into the Tempus Lens data analytics platform. This significant development leverages generative AI to provide researchers with powerful tools for analyzing de-identified, multimodal data libraries. The integration aims to facilitate the extraction of insights, construction of patient cohorts, and interrogation of patient populations among other functionalities.

Initially released to physicians at the 2023 ASCO Annual Meeting, Tempus One serves as an AI-enabled clinical assistant, facilitating rapid queries via voice or typing. It provides access to comprehensive clinical and molecular profiles, coupled with the latest care guidelines. Now, this technology is extended to Tempus’ research collaborators on the Lens platform, streamlining the identification and analysis of specific cohorts to foster quicker, deeper insights.

The integration begins with a user Q&A feature through an in-app chat assistant powered by large language models (LLMs), enhancing the platform’s functionality. This feature enables researchers to directly pose questions, receive immediate responses with citations, and provide feedback on the quality of chat responses. Additionally, a cohort-building technology utilizing LLMs will allow for efficient patient cohort identification based on various clinical and molecular attributes within Tempus’ dataset.

Ryan Fukushima, Chief Operating Officer of Tempus, expressed enthusiasm about extending Tempus One technology to life sciences collaborators. The integration into Lens is expected to significantly enhance user experience by making data and insights more readily accessible.

The integration of Tempus One technology into the Tempus Lens platform represents a significant leap forward in the use of AI in healthcare and precision medicine. By enabling more efficient data analysis and insight generation, Tempus is not only advancing scientific discovery but also potentially accelerating the development of personalized treatments. This move highlights the growing importance of AI and big data in transforming healthcare research, making complex datasets more navigable and actionable for researchers worldwide.

  artificial intelligence, generative AI, Ryan Fukushima, Tempus