LONDON and ROCHESTER, Minn., May 20, 2025 -- SIME Diagnostics, a UK-based medical technology company today announced the completion of a clinical study evaluating an AI-powered Lung Maturity Test (LMT) for late-preterm newborns in a U.S. patient population. The findings were presented by Mayo Clinic's Rochester Neonatal team at the Pediatric Academic Societies (PAS) 2025 Conference in Honolulu on the 27th of April.
Addressing an Unmet Need in the NICU
Each year, an estimated 300,000 babies in the United States are born between 32 and 36 weeks' gestation, according to national health statistics.[1] This population often faces a higher risk of respiratory distress, which is a leading cause of neonatal morbidity and extended hospital stays. Traditional clinical practice often requires a "wait and see" approach to identify which infants may need intervention. This practice can contribute to higher rates of NICU admissions, delayed treatment, increased healthcare costs, and additional pressure on families and infants. The AI-based LMT aims to address this gap by providing an objective screening test to assist in the timely identification of at-risk newborns.
Advancing Neonatal Respiratory Diagnostics with AI
To address this clinical challenge, a study was conducted at Mayo Clinic in Rochester enrolling 207 late-preterm infants (>30 weeks' gestation).[2] Samples of gastric aspirate were analyzed using a point-of-care device developed by SIME Diagnostics. Results showed that the Lung Maturity Test (LMT) was able to assess biomarkers associated with lung maturity, and support early identification of infants at risk for respiratory distress. The study concluded that this point-of-care device accurately predicted the need for prolonged respiratory support and was effective at identifying patients whose need for respiratory support would resolve within 6 hours.
Rapid Lung Maturity Test (LMT) Powered by AI and
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