BioSensics works with pharmaceutical companies and research institutions to help integrate, customize, and operationalize its wearable sensor and digital technologies in clinical studies and trials.
Early phase studies
BioSensics partners with pharmaceutical, medical device and healthcare companies on early phase clinical studies. These studies play a key role in understanding disease symptoms, creating and validating novel biomarkers and developing tools and methods for objective assessment of endpoints. BioSensics has established partnerships and umbrella contracts with several research institutions and hospitals across the United States to expedite contracting, IRB submission and study initiation.
BioSensics provides global operation services to facilitate the use of BioSensics’ technologies and solutions in clinical trials. Such services include study initiation and logistical support, site staff training, compliance monitoring, patient follow up, study maintenance, close-out and study progress report preparation. A dedicated and experienced project manager is assigned to each project to ensure an efficient study setup and the timely delivery of devices and to facilitate communication with all project stakeholders. In addition, BioSensics offers global helpdesk services for clinical sites and patients throughout the duration of the clinical trial in the local language.
BioSensics’ solutions are integrated with the BioDigit Cloud, a secure and compliant data collection and storage solution. The data quality is assessed through BioDigit Home and BioDigit Clinic solutions, as well as by BioSensics’ team of experts to ensure compliance with regulatory and project requirements. BioSensics’ solutions enable centralized and objective collection and analysis of data for a wide range of endpoints.
BioSensics provides comprehensive technical consulting services related to identifying appropriate digital biomarkers, data collection strategies, algorithm development and data analytics. BioSensics’ research team has extensive experience in developing strategies for efficient patient data collection, and in creating and validating novel digital biomarkers for different diseases. This includes application of machine learning and AI, statistical modeling and analysis, and signal processing.