New study shows Briya's AIRE AI research platform expands steatotic liver disease identification by 360% using previously overlooked radiology data. 08 Oct, 2026, 15:30 IDT Briya AIRE's analysis of 28,795 abdominal ultrasound reports found 78% of steatotic liver patients were identified only through unstructured radiology reports NEW YORK, Oct. 8, 2026 /PRNewswire/ - Briya, the health AI company redefining healthcare research with AIRE, a trusted AI platform, today announced results from a real-world study demonstrating how AI and natural language processing (NLP) can uncover under-documented cases of metabolic dysfunction-associated steatotic liver disease (MASLD) from unstructured radiology reports. Using AIRE, researchers identified 360% more steatotic liver patients than structured data alone revealed. The technology then enabled risk stratification for patients at risk of progression, creating opportunities to intervene before the disease becomes irreversible, with the potential to save lives. The study demonstrates how healthcare organizations, pharma companies and research and consulting firms can use existing routine data to identify overlooked patients, strengthen risk stratification and generate real-world evidence without additional diagnostic procedures or burden on clinical workflows. "Briya AIRE fundamentally changed how we were able to identify patients for this study," said Gadi Lalazar, MD, Head of the Liver Unit at Shaare Zedek Medical Center. "Many of these patients may not have known they had steatotic liver disease because the finding was buried in an ultrasound report performed for some other reason. Identifying them earlier creates an opportunity for physicians to initiate treatment before the disease progresses to more serious and potentially irreversible stages." The findings demonstrate how unlocking information from unstructured radiology reports gives researchers access to larger, more representative patient populations without requiring additional data collection. The study, titled "Leveraging Real-World Data and NLP to Identify At Risk Metabolic Dysfunction Associated Steatohepatitis in the General Population," will be presented at AASLD's The Liver Meeting 2026 by Dr. Or Shaked, Director of Medical Research Solutions at Briya, on November 6 at 1:00 PM MT during the "MASLD/MASH - Epidemiology and Natural History, Prevention and Outcomes" session. (Abstract 2476) The study analyzed 28,795 abdominal ultrasound reports from 20,422 unique patients between 2020 and 2024 and identified an additional 4,036 patients with a steatotic liver. This expanded the relevant study population by 360%, from 1,122 to 5,158 patients. The findings revealed a major gap when looking at structured records or diagnostic codes alone. Only 22% of identified steatotic liver patients had a documented diagnosis in structured EHR fields, while 78% were identified exclusively through Briya AIRE's NLP analysis of unstructured ultrasound data. External expert validation found 94% precision and 97% recall for steatotic liver detection. With a more complete study population, researchers then assessed the risk of disease progression using existing laboratory data and ultrasound reports. The analysis identified 4,368 patients whose FIB-4 scores placed them above the conventional at-risk threshold. "AIRE's specialized research agents were used to extract information from unstructured fields, harmonize it with existing structured data and build the study population," said Dr. Or Shaked of Briya. "The goal is to take on more of the complex data preparation work so researchers can use more of the available information and focus on answering scientific questions that can ultimately influence care." AIRE enabled the researchers to extract clinically relevant information from tens of thousands of radiology reports and incorporate it into the study population alongside existing clinical and laboratory data. Doing this manually would have required extensive review and data preparation, making it difficult to apply consistently at scale. By automating much of that labor-intensive work, AIRE significantly accelerated the research timeline. About Briya Briya is the health AI company behind AIRE, a scientific AI platform built to expand research capacity and deliver better evidence. AIRE handles the operational complexity between fragmented data and defensible evidence, while preserving scientific rigor and keeping researchers in control. Combining scientific AI, NLP and no-code advanced analytics with secure access to a global real-world data network, AIRE gives researchers across life sciences, healthcare and service firms more room for science. Media Contact: SOURCE Briya

King's College Hospital NHS Foundation Trust joins Briya's global data network, expanding evidence available through AIRE. 23 Sep, 2026, 17:00 IDT The partnership adds NHS-scale, GDPR-compliant data to Briya's international network, expanding AI-Powered evidence generation across life sciences LONDON and NEW YORK, Sept. 23, 2026 /PRNewswire/ - Briya, the health AI technology company redefining healthcare research with a trusted AI assistant, today announced a strategic partnership with King's College Hospital NHS Foundation Trust, of the UK's largest and busiest teaching Trusts, to advance AI-native medical research through collaborative real-world evidence initiatives. King's College Hospital NHS Foundation Trust provides specialist services to some of the most vibrant and diverse communities in the country, from inner city neighbourhoods to suburban communities. This expands the depth and diversity of real-world evidence available to researchers and life sciences organizations studying disease, treatment pathways, and patient outcomes at population scale. "Healthcare research no longer suffers from a lack of data - it suffers from a lack of intelligence infrastructure that can transform data into trustworthy evidence," said David Lazerson, Co-founder and CEO of Briya. "By bringing NHS-scale data into our growing international network, we're helping build the scientific foundation that allows researchers everywhere to generate stronger evidence while focusing more of their time on science itself." King's College Hospital NHS Foundation Trust joins a growing global network of academic medical centers and research institutions working with Briya's real-world data infrastructure, each new node adding scale, diversity, and depth to the evidence available for research. This expansion builds on Briya's broader momentum, including the opening up of Briya AIRE, the company's AI research platform, to institutions worldwide through its Academic Access Program, and a partnership with InterSystems connecting Briya to a health data network spanning more than a billion patient records. Briya is already working with leading institutions including Charité and Casa Sollievo della Sofferenza. King's College Hospital NHS Foundation Trust now contributes to Briya's growing European data footprint, deepening the real-world evidence available to the wider network. About Briya Briya is the health AI company behind AIRE, a scientific AI platform built to expand research capacity and deliver better evidence. AIRE handles the operational complexity between fragmented data and defensible evidence, while preserving scientific rigor and keeping researchers in control. Combining scientific AI, NLP, and no-code advanced analytics with secure access to a global real-world data network, AIRE gives researchers across life sciences, healthcare, and service firms more room for science. Visit us at www.briya.com. Media Contact: SOURCE Briya

Briya named a finalist in the 2026 Fierce AI Innovation Awards. The 2026 Fierce AI Innovation Awards have named Briya a finalist in the AI Innovation in Data Interoperability category. The Fierce AI Innovation Awards recognize organizations that move beyond simple AI pilots and deliver measurable results. A panel of industry leaders and expert judges evaluates each entry. They consider five criteria: innovation, impact, execution, scalability, and industry relevance. This recognition highlights Briya AIRE, a clinical-grade AI research environment. AIRE helps researchers turn questions into research-ready evidence using natural language. Briya joins Benchling AI, IMO Health, and Innovaccer as a finalist in the category. Fierce Life Sciences presents the awards as part of Questex's healthcare and life sciences portfolio. Fierce Life Sciences also publishes Fierce Biotech, Fierce Pharma, and Fierce Healthcare. Through these publications, events, and awards, Fierce provides news and analysis for healthcare, biotechnology, and pharmaceutical professionals. Why is healthcare data hard to use for research? Healthcare data is fragmented across EHRs, clinical research systems, public datasets, enterprise platforms, and unstructured medical documents. It is one of the world's most valuable resources for advancing medical research, yet much of it sits in systems that were never designed to work together. Data interoperability involves more than moving information between systems. Researchers must also connect, harmonize, and understand the data. Moreover, they need to trace each result back to its source and prepare the data for scientifically valid analysis. Before researchers can generate real-world evidence or build patient cohorts, they often spend months locating data, navigating privacy requirements, harmonizing different formats, defining study populations, and preparing information for analysis. These barriers make research slower, more expensive, and less accessible to smaller organizations. How does Briya AIRE make healthcare data research-ready? Briya AIRE was built to address these challenges. AIRE enables researchers to move from a question to research-ready evidence using natural language. Its suite of epidemiologist-designed AI agents helps researchers define study populations, explore and analyze healthcare data, build patient cohorts and comparison groups, and create transparent, reproducible reports. AIRE provides a federated research layer across complex healthcare data, meaning analysis runs where the data lives rather than requiring patient records to be moved or centralized. That layer spans structured records as well as the valuable information found in physician notes, pathology reports, and other clinical free text. Every study population and analysis remains transparent and inspectable, allowing researchers to understand how results were generated and reproduce their work. By connecting fragmented data and automating the most time-consuming stages of research, AIRE enables scientists and healthcare professionals to move through the research lifecycle with greater speed and confidence, from epidemiological studies to clinical trial feasibility assessments. For individual researchers and students, Briya also offers a free version of AIRE with access to public health datasets such as the Behavioral Risk Factor Surveillance System (BRFSS). These datasets have long been available online, but downloading them, querying them, and harmonizing fields that change from year to year can take a researcher weeks. In AIRE, the same work can be done in minutes using just natural language.