Remotely, FAITH will analyze depression indicators and forecast downward tendencies. Nutrition, sleep, activity, and speech are all biomarkers that can be evaluated in diverse ways, partly by wearable devices. Patients with a history of breast or lung cancer will be recruited for the trial between 1 and 5 years after their initial cancer has been treated. Depression and quality of life among cancer survivors will be evaluated over the course of a 12-month prospective observational cohort study that will include monthly assessments. The severity of depressive symptoms at 3, 6, 9, and 12 months as determined by the Hamilton Depression Rating Scale (Ham-D), is the primary objective.

With the rapid adoption of Internet technologies, digital footprints have become ubiquitous and versatile to revolutionise the financial industry in digital transformation. This paper takes initiatives to investigate a new paradigm of the unified credit assessment with the use of federated artificial intelligence. We conceptualised digital human representation which consists of social, contextual, financial and technological dimensions to assess the commercial creditworthiness and social reputation of both banked and unbanked individuals. A federated artificial intelligence platform is proposed with a comprehensive set of system design for efficient and effective credit scoring. The study considerably contributes to the cumulative development of financial intelligence and social computing. It also provides a number of implications for academic bodies, practitioners, and developers of financial technologies.