Accelerating life sciences with AI

 This case study is sponsored by Infor.

Artificial intelligence can revolutionize clinical interoperability by building bridges across data silos. Machine learning’s vast analytical capabilities enable the comprehensive analysis of large volumes of historical data from multiple sources, providing a more holistic view of patients’ overall health. Its ability to uncover patterns and anticipate future needs can help drive more productive and data-driven decision-making.

Infor’s Cloverleaf is a leading clinical data interoperability platform that efficiently and securely connects life science systems to collect and transform clinical data.  The Infor case study “Accelerating life sciences with AI” discusses:

• The Cloverleaf workflow for managing clinical data.
• Benefits of a data interoperability platform.
• Use case examples in drug development, clinical trial optimization, personalized treatment and predictive maintenance.