Data from Anumana's New Study Show AI Algorithm Has the Potential to Detect Pulmonary Hypertension Early Using ECG Data [Yahoo! Finance]
Johnson & Johnson (JNJ)
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Source: Yahoo! Finance
a new study that revealed promising results in support of further development of its investigational pulmonary hypertension (PH) algorithm. The study, " An electrocardiogram-based AI algorithm for early detection of pulmonary hypertension ," which was published in the European Respiratory Journal, determined that the algorithm used in the study can detect PH using routine 12-lead electrocardiogram (ECG) data. PH is a severe, progressive disease where delayed diagnosis is associated with a higher risk of morbidity and mortality. Despite an increasing number of available treatments for the disease, diagnostic delays – often of more than two years from symptom onset – are common, due to the non-specific symptoms at presentation. To address this challenge, Anumana, in collaboration with Mayo Clinic, Vanderbilt University Medical Center (VUMC), and Janssen Research & Development, LLC, a Johnson & Johnson company, has developed an Al algorithm designed to detect PH using routinely collect
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