This project aims to identify occupational risk, by combining the power of historical records of the global population and the precision data of personalized occupational exposure records. The combination will be achieved through advanced machine learning and AI techniques. The project will be carried out by an interdisciplinary team of experts in biomedical data acquisition , advanced data processing, AI algorithms, epidemiology and clinical validation.
