What we do
We build large datasets of de-identified and anonymised patient data in collaboration with health systems, providing an important source of clinical information for research while safeguarding patient privacy.
We curate and analyse the datasets using algorithms.
We use machine learning to discover new insights that will support life sciences research and development.
To further develop Sensyne’s life sciences capability, we are building SENSIGHT™ a world class pharmaceutical research and development platform to accelerate the speed of data processing, analysis and insight discovery.
Sensyne was able to overdeliver in terms of data collected, while sticking to the initial timeline. It was a very fruitful collaboration, and thanks to Sensyne capabilities, we have been able to get meaningful clinical information from a large cohort of UK patients.
Life sciences activities focus on applying machine learning across the medicinal R&D process to:
We work collaboratively with public healthcare systems, such as the UK’s NHS, US-based health systems and other healthcare organisations around the world in a trusted ethical partnership. Our partners receive a commercial return in the form of equity and/or IT investment and a share of Sensyne revenues, that can be reinvested back into patient care and medical research.
In response to specific questions that our life sciences partners ask, Sensyne analyse patient and clinical trial data and share the insights, not the data itself, from that analysis which enables pharmaceutical companies to use the insights to develop targeted drugs with a higher chance of success.
The current medical discovery system involves interpreting enormous volumes of diverse information. It can be like finding a needle in a haystack, without knowing what a needle is, what a needle looks like or where the haystack is. We aim to change that.
- Target ID
- Target validation
Clinical trial optimisation
- Patient stratification
- Synthetic control arms
- Analytics combining clinical trial and real world data
- Event prediction
- Health economic outcomes research
- Outcomes based pricing
- Post launch research and monitoring