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.
The Sensyne Life Sciences team combines clinical and data science expertise to develop machine learning technologies applied to ethically sourced de-identified and anonymised patient data analysed from our partnerships with health systems, and clinical trial data from Sensyne’s partnership with Phesi Inc.
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.
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.