CareX.AI
Gabriel Castellano is an AI Engineer at CareX.AI, where research on blood pressure estimation using PPG signals from smartphone cameras has been initiated. This role encompasses the development of algorithms in computer vision, signal processing, and machine learning for biomedical applications. Prior experience includes a position as a Data Science Werkstudent at ProSiebenSat.1 Media SE, enhancing content compression through NLP techniques and co-developing an automated video content solution. Additionally, Gabriel has served as a Graduate Research Assistant at the Technical University of Munich, contributing to time-series feature extraction methods, and interned at Siemens Healthineers, Mitacs, and INNOVIX, focusing on medical imaging, biomedical data analysis, and firmware development, respectively. Gabriel holds an Elite Master of Science in Neuroengineering from the Technical University of Munich and a Bachelor's Degree in Electrical Engineering from Universidade de Brasília.
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CareX.AI
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Hospital on Mobile is a personalized mobile health company. The company develops camera and voice-based vital signs monitoring solutions for disease prediction and remote patient monitoring. Using a smartphone camera or webcam, users can measure their heart rate, heart rate variability, respiratory rate and oxygen saturation level via contact (byputting their fingertip on the camera) or contactless (selfie video) measurement options. Additionally, Hospital on Mobile can analyze users' volunteer coughs for whether an infectious disease is developed or not. All measurements and results are displayed in seconds. Hospital on Mobile has implemented the passive monitoring tools into two of their products as well: Migraine.AI is a personalized migraine management application, it predicts migraine attacks 24-28 hours in advance and optimizes medication window. ViroLogic.io is a COVID screening and prediction application for companies. It offers daily screening for COVID-19 symptoms prior to entering the workplace.