PERTH, Australia – Wellington, New Zealand-headquartered Volpara Health Technologies Ltd. has acquired Boston-based CRA Health LLC for $18 million up front and an additional $4 million to be paid over the next 18 months in earnouts. Volpara’s digital health solutions use imaging and artificial intelligence (AI) for early detection of breast cancer. The company’s clinical functions for screening clinics provide feedback on breast density, compression, dose, and quality, while its enterprise-wide practice software management helps with productivity, compliance, reimbursement and patient tracking.
Royal Philips NV will close on its $635 million acquisition of Capsule Technologies Inc. in the first quarter of 2021, continuing the expansion of the Dutch company's remote monitoring capabilities. Capsule's Medical Device Information Platform integrates nearly all medical devices used in hospitals with electronic health records in a vendor-neutral system. The deal has already received approval from the U.S. Federal Trade Commission and the Department of Justice.
PARIS – Inheart SAS completed its first funding round of $4.2 million to improve cardiac arrhythmia treatment using medical imaging, artificial intelligence and digital simulation. This fund round was led by Elvia Partners SAS, a Parisian investment fund managed by Xavier Lazarus specializing in deep tech, and Aquitaine Science Transfer, a company accelerating technology transfer, from the University of Bordeaux.
Corvia Medical Inc. is enrolling patients in a 100-site multinational study of its Interatrial Shunt Device that will measure traditional heart failure endpoints as well as biosensor data transmitted to the cloud for analysis by Napier, Ill.-based Physiq's artificial intelligence analytics. The trial will evaluate Tewksbury, Mass.-based Corvia's device in heart failure with preserved and mid-range ejection fraction.
Information technology and connectivity have transformed productivity and costs in nearly every industry. Health care, however, has remained persistently immune to this transmogrification. Electronic health records (EHRs) have been particularly disappointing on this front, with time-consuming and inconsistent physician data entry as well as poor integration across complex and emerging data sources from medical devices, imaging, genomics and wearables and, as a consequence, a lack of usefulness in improving population health analytics or personalized care.