Development of artificial intelligence solutions for prevention, prediction of diagnosis and prognosis and personalization of the treatment of patients’ diseases and care of chronic and elderly people.
Development of technology to provide intelligent models, generated from clinical, genomic, lifestyle, sensor, clinical imaging tests, or other data, to support the clinician to prevent, diagnose early or personalize treatments and make the best decisions for patients.
The application of these AI technologies cover the different iterative phases of clinical decision making software development:
