Clinical Decision Support
Because we have confidence in the integrity of our technology platform, we intend to develop functionality to allow us to adjust the underlying healthy physiology in our model so that it can start to reflect a patient’s personalised physiology. For example, sex and age are often important factors in assessing certain conditions and therefore selecting the most appropriate treatment or intervention.
Assessing the right treatment for a patient can be difficult.
We have in-house data science and artificial intelligence expertise.
Combining our physiology engine with data science discovery around patient risk profiling will enable us to pioneer innovation in clinical decision support tools.
Please get in touch if you would like to discuss collaboration.