Palo Alto, CA February 29, 2023, Audium Health and investigators from the University of California, San Francisco (UCSF) led Rapid Research in Diagnostics Development for Tuberculosis Network (R2D2 TB Network) are collaborating to develop an effective, low cost, easy to perform AI-based tool to screen for tuberculosis (TB) disease. Each year, over 3 million people with TB are undiagnosed due to a lack of accurate and available diagnostics. TB is the leading cause of death from an infectious disease worldwide, and early, accurate and low-cost screening and triage of TB in high-risk populations is a major priority of the World Health Organization (WHO) and affected communities to reduce its burden and spread.
Audium Health’s DxAssist(TM) Large Auscultation Model, LAM, will be used with the R2D2 TB Network’s clinical studies in over 5 countries to train a propriety acoustic deep learning model that can effectively screen for TB. Audium Health is now applying its previously developed, SARS-CoV-2 screening model (to assess viral vs bacterial lower respiratory inflammation) for use with TB. From this previous work, and UCSF’s collaboration, meeting the World Health Organization’s standard for TB triage testing of >90% sensitivity and >70% specificity appears feasible.
“We are fortunate to be working with UCSF- R2D2 TB Network and their extensive TB knowledge and efforts in recording and labeling lung auscultations in a variety of countries and demographics. With this data, we expect to achieve successful TB screening performance,“ said Hal Daseking, founder of Audium Health, Inc.
“Our goal has been to collaborate with diagnostic innovators to leverage our extensive clinical TB studies and help to expedite solutions that will decrease the burden of TB Worldwide”, said Adithya Cattamanchi , Professor of Medicine at UC Irvine and co-Director of the R2D2 TB Network.
Results are expected in H1’24.
About Audium Health
Audium Health is a leader in the realization of acoustic deep learning models for in-seconds, at the point of care, clinical diagnostics. Audium’s DxAssist large auscultation model developed for cardiopulmonary screening for 100% of patients while improving a primary care physician’s productivity by 5X and saving $84,000 annually for each primary care physician. Audium’s Large Auscultation Model Partnership, LAMP is a collaborative effort in the screening for the many cardiopulmonary morbidities.
About the R2D2 TB Network
The Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) https://www.r2d2tbnetwork.org/ is an initiative supported by the National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (NIH) that brings together experts in TB care, technology assessment, diagnostics development, laboratory medicine, epidemiology, health economics and mathematical modeling with highly experienced clinical study sites. Together, we seek to move the field forward by providing a transparent and partner-engaged process for the identification, evaluation, and advancement of the most promising TB diagnostics.