Sonio
Eva Martinez is a Clinical Data Manager and Scientist at Sonio since October 2023, with prior experience as a Data Scientist at Implicity where the focus was on exploring stroke prediction algorithms for patients with cardiac monitoring implants. Previously, at Entia Ltd, Eva held roles as a Senior Research Engineer and Research Engineer, implementing data analysis pipelines and producing reports. Experience also includes a role as a Test Development Engineer at myBrain Technologies, focused on developing a test protocol for EEG recording headphones, and an internship at Withings in computer sciences and research to create a sales forecasting tool. Educational qualifications include a Master's degree in Artificial Intelligence from CentraleSupélec, a Master's degree in Biomedical Engineering from City St George’s, and another Master's degree in Biomedical/Medical Engineering from ISEP.
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Sonio
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Sonio is an AI-based support platform for fetal ultrasound, helping practitioners analyze and diagnose congenital malformations. Sonio combines the patient’s medical history, genetic and biological data, and ultrasound semiology to assist physicians on the path to the right diagnosis. It assists sonographers during prenatal screening scans, helpingthem ensure that they have not forgotten anything, take risk factors into account, and facilitate the sharing of images with patients and other health professionals.