Plugging a Major Productivity Gap to Expedite Clinical Research

Briya, the health technology company redefining medical research, has officially announced the launch of Briya AIRE™, which happens to be the world’s first clinical-grade AI research assistant geared towards expediting biomedical and clinical decision making.

According to certain reports, this particular assistant arrives on the scene bearing an ability to think in the language of medicine, clinical research and epidemiology. This it markedly does to turn months of manual data analysis into actionable insights, with the whole process taking nothing more than a few minutes. 

As for the outcome, it is a significantly faster, cost-effective discovery process across biopharma and academic research sectors.

“Incorporating Briya AIRE into research and clinical practice has the potential to revolutionize medical care,” said Robert Brown, MD, MPH, Vincent Astor Distinguished Professor of Medicine, Chief, Division of Gastroenterology and Hepatology at Weill Cornell Medicine. “Using AI to collate patient data and clinical evidence will allow physicians to make better decisions in a more efficient and timely manner while reducing administrative burden so they can spend more time interacting with and thinking about their patients.”

More on the same would reveal how, taking a departure from traditional AI tools that are limited to curating and synthesizing data, Briya AIRE can actually play the role of a virtual epidemiologist and data analyst. The idea here is to empower researchers in the context of asking better questions and generating answers faster.

Not just that, the technology in question can also conceive patient cohorts, test hypotheses, refine study criteria, and at the same time, identify data patterns otherwise missed. Such a mechanism, like you can guess, treads up a long distance to optimize study design and accelerate discoveries that can impact drug development and patient care.

“Life-saving research should never be delayed because researchers and physicians are expected to become program coders,” said David Lazerson, Co-founder and CEO of Briya. “Unlike general-purpose AI tools, Briya AIRE has been built specifically for clinical and biomedical researchers to ask questions in plain language, instantly translated into epidemiologically valid and scientifically precise requests. The outcome is an accelerated research journey.”

Talk about the whole value proposition on a slightly deeper level, we begin from how researchers can ask make their queries in everyday language. You see, once they do so, AIRE gets down to translating the question into precise medical and research terms, thus removing the need for coding expertise.

Next up, we must dig into AIRE’s promise to interface with existing clinical or hospital records, research databases, and free-text doctors’ notes, pulling all information into one view.

Another detail worth a mention relates to the availability of automatic suggestions that, on their part, are grounded in peer-reviewed science, drawing from published medical studies and proven research methods, as well as eliminating repetitive data preparation.

In case this wasn’t enough, then it ought to be acknowledged that AIRE is also built on the Briya secure infrastructure, and as a result, it is able to seamlessly meet U.S. and European privacy standards.

“Using the advanced NLP capabilities, we can now accurately identify patients with metabolic dysfunction-associated steatohepatitis (MASH) at significant risk of progressing to severe liver damage or cirrhosis, directly from unstructured clinical data across the healthcare ecosystem,” said Gadi Lalazar, MD, Head of the Liver Unit, Shaare Zedek Medical Center, formerly affiliated with New York Presbyterian and Cornell. “This ability to automatically analyze imaging reports opens the door to earlier interventions for these high-risk patients, and spells promise for its use in a wide range of indications.”

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