Recruit Patients for Clinical Studies
Amsety developed a novel way to engage with liver patients by combining decisional AI and messaging tools with its large, highly interactive database of over half a milliion users to help efficiently reach and effectively communicate with liver patients.
Amsety’s ACRE can help you to:
Efficiently find qualified clinical trial subjects
and speed up your patient recruitment process
Increase efficiency of your recruiting with highly motivated individuals from an interactive liver health network
Communicate with patients from screening over enrollment until completion
Communicate with Liver Patients
Amsety developed a novel way to engage with liver patients by combining decisional AI and messaging tools with its large, highly interactive database of over half a milliion users to help efficiently reach and effectively communicate with liver patients.
Amsety’s ACRE can help you to:
Select patient profiles and estimate reach with a database of 600,000 Liver Patients
Increase efficiency of your recruiting with highly motivated individuals from an interactive liver health network
Communicate with patients from screening over enrollment until completion
Analyze Clinical Data with AI
Presented at the AASLD Liver Meeting © 2024 in San Diego as a Scientific Contribution
Amsety developed PRISMA AI Model to understand the impact of life-style factors on liver disease progression. The PRISMA Model understands connected correlations of data in multidimensional, nonlinear spaces. As a practical outcome, we developed the PRISMA Score for each single influence factor. At the same time, we used the physiological reasoning for the PRISMA findings to triangulate the PRISMA model with liver physiology.
The PRISMA-Technology is a viable tool to understand the topology of large patient populations. It can identify connections in disease influence factors and isolate indicators. PRISMA can be applied to lifestyle factors as well as laboratory data to identify influence of single drivers. This, in turn, will draw attention to early signs of liver disease. As a result, more people can seek medical help, be screened, get diagnosed, and treated. Moving forward, we aim to expand the application of the PRISMA Model to other diseases and data types, making it easily accessible to healthcare providers as an AI-powered technology.
Qualified and highly motivated users interested in liver health - connected
through Amsety’s interactive patient tools:
